CN106331854A - Smart television control method and device - Google Patents
Smart television control method and device Download PDFInfo
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- CN106331854A CN106331854A CN201610866329.5A CN201610866329A CN106331854A CN 106331854 A CN106331854 A CN 106331854A CN 201610866329 A CN201610866329 A CN 201610866329A CN 106331854 A CN106331854 A CN 106331854A
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- G06F18/22—Matching criteria, e.g. proximity measures
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
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- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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Abstract
The invention discloses a smart television control method which includes the steps: scanning a current control user of a smart television by the aid of an image sensor, and acquiring three-dimensional image data of the control user; generating a corresponding three-dimensional reconstructed image according to the acquired three-dimensional image data; recognizing the control user according to a matched feature image when the three-dimensional reconstructed image is matched with the pre-stored feature image; controlling the play content of the smart television according to the control user after the control user is recognized. The invention further discloses a smart television control device. Automatic user control accuracy of the smart television is improved.
Description
Technical field
The present invention relates to intelligent television technical field, particularly relate to a kind of Intelligent television control method and device.
Background technology
Along with the development of science and technology, the function of intelligent television gets more and more, is requisite in people's daily life
Equipment.The demand of intelligent television is liked different by everyone, and such as child is partial to like to play game, sees cartoon,
Youngster likes watching some entertainments, and old people prefers to watch serial.Therefore, it is directed to different users,
Intelligent television automatically controls plays content accordingly, carries out automatic subscriber and controls to become popular.But in prior art, intelligence
TV when user is identified, a not simple and effective recognition methods, it is possible to user is accurately identified.By
The accuracy identified in user can not be guaranteed, and therefore, the accuracy that automatic subscriber controls is the highest.
Summary of the invention
Present invention is primarily targeted at a kind of Intelligent television control method of proposition and device, it is intended to solve in prior art
Intelligent television carries out the technical problem that the accuracy of automatic subscriber control is the highest.
For achieving the above object, a kind of Intelligent television control method that the present invention provides, described Intelligent television control method
Comprise the following steps:
Use imageing sensor that the manipulation user that intelligent television is current is scanned, obtain the three-dimensional of described manipulation user
View data；
According to the described 3 d image data obtained, generate corresponding three-dimensional reconstruction image；
When described three-dimensional reconstruction image mates with the characteristic image prestored, grasp according to the characteristic image identification of coupling
Control user；
After identifying described manipulation user, control the broadcasting content of described intelligent television according to described manipulation user.
Preferably, the manipulation user that intelligent television is current is scanned by described employing imageing sensor, obtains described behaviour
The step of the 3 d image data of control user includes:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is swept
Retouch, obtain multiple two-dimensional image datas corresponding under multiple described scanning angle；
Will obtain multiple two-dimensional image datas, and correspondence scanning angle association be stored in three-dimensional matrice, as
The 3 d image data of described manipulation user.
Preferably, described employing imageing sensor is respectively with multiple default scanning angles, the behaviour current to intelligent television
Control user is scanned, and the step obtaining multiple two-dimensional image datas corresponding under multiple described scanning angle includes:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is put down
Move scanning, obtain corresponding multiple voltage signal data；
The plurality of voltage signal data is converted to multiple data image signal data of correspondence, with the plurality of numeral
Image signal data is as multiple two-dimensional image datas corresponding under multiple scanning angles.
Preferably, described according to the described 3 d image data obtained, generate the step bag of corresponding three-dimensional reconstruction image
Include:
According to coordinate transform formula, described 3 d image data is carried out coordinate transform；
3 d image data after coordinate transform is carried out matrix beam calculating, obtains multiple projection value, the plurality of throwing
Shadow value is the projection value that each pixel of three-dimensional reconstruction image is corresponding；
The plurality of projection value is overlapped, it is thus achieved that three-dimensional reconstruction image.
Preferably, described when described three-dimensional reconstruction image mates with the characteristic image prestored, according to the characteristic pattern of coupling
Before identifying the described step manipulating user, also include:
When the quantity of the characteristic image prestored is several, successively by the pixel value summation of every width characteristic image that prestores with
The pixel value summation of described three-dimensional reconstruction image is compared, it may be judged whether the pixel value summation of existing characteristics image and described three
Dimension rebuilds the pixel value summation coupling of image；
When the pixel value summation that there are several characteristic images is mated with the pixel value summation of described three-dimensional reconstruction image, point
Not by flat for corresponding with several characteristic images described for pixel value corresponding for many groups parallel section of described three-dimensional reconstruction image many groups
The pixel value of row section carries out variance calculating, it is thus achieved that corresponding multiple between described three-dimensional reconstruction image with several characteristic images described
Pixel value variance；
Determine the minimum pixel value variance in the plurality of pixel value variance, by spy corresponding for described minimum pixel value variance
Levy the characteristic image that image mates as described three-dimensional reconstruction image.
Additionally, for achieving the above object, the present invention also proposes a kind of intelligent television and controls device, and described intelligent television controls
Device includes:
Acquisition module, for using imageing sensor to be scanned the manipulation user that intelligent television is current, obtains described
The 3 d image data of manipulation user；
Generation module, for according to the described 3 d image data obtained, generating corresponding three-dimensional reconstruction image；
Identification module, for when described three-dimensional reconstruction image mates with the characteristic image prestored, according to the feature of coupling
User is manipulated described in image recognition；
Control module, for after identifying described manipulation user, controls described intelligent television according to described manipulation user
Broadcasting content.
Preferably, described acquisition module is used for:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is swept
Retouch, obtain multiple two-dimensional image datas of described manipulation user；
Will obtain multiple two-dimensional image datas, and correspondence scanning angle association be stored in three-dimensional matrice, as
The 3 d image data of described manipulation user.
Preferably, described acquisition module is used for:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is put down
Move scanning, obtain corresponding multiple voltage signal data；And the plurality of voltage signal data is converted to many numbers of correspondence
Word image signal data, using the plurality of data image signal data as multiple scanning angles under corresponding multiple two dimensional images
Data.
Preferably, described generation module includes:
Coordinate transformation unit, for carrying out coordinate transform according to coordinate transform formula to described 3 d image data；
First computing unit, for the 3 d image data after coordinate transform is carried out matrix beam calculating, obtains multiple
Projection value, the plurality of projection value is the projection value that each pixel of three-dimensional reconstruction image is corresponding；
Signal generating unit, for being overlapped the plurality of projection value, it is thus achieved that three-dimensional reconstruction image.
Preferably, described identification module includes:
Comparing unit, is used for when the quantity of the characteristic image prestored is several, the every width characteristic image that will prestore successively
The pixel value summation of pixel value summation and described three-dimensional reconstruction image compare, it may be judged whether the pixel of existing characteristics image
Value summation is mated with the pixel value summation of described three-dimensional reconstruction image；
Second computing unit, for when the picture of the pixel value summation with described three-dimensional reconstruction image that there are several characteristic images
During element value summation coupling, respectively by pixel value corresponding for many groups parallel section of described three-dimensional reconstruction image and several features described
The pixel value of corresponding many group parallel sections of image carries out variance calculating, it is thus achieved that described three-dimensional reconstruction image and several features described
Multiple pixel value variances corresponding between image；
Recognition unit, for determining the minimum pixel value variance in the plurality of pixel value variance, by described minimum pixel
The characteristic image that value variance characteristic of correspondence image mates as described three-dimensional reconstruction image, according to the described characteristic image of coupling
Identify described manipulation user.
The Intelligent television control method of present invention proposition and device, swept by the manipulation user current to intelligent television
Retouch, it is thus achieved that the 3 d image data that current manipulation user is corresponding, and generate corresponding Three-dimensional Gravity according to this 3 d image data
Build image, when this three-dimensional reconstruction image mates with the characteristic image prestored, identify current manipulation user, then according to knowledge
The current manipulation user not gone out, controls the broadcasting content of intelligent television, it is achieved automatic subscriber controls, by then passing through Three-dimensional Gravity
Build image and identify manipulation user, identify that the degree of accuracy of manipulation user is high, thus improve intelligent television and carry out automatic subscriber control
The accuracy of system.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of Intelligent television control method first embodiment of the present invention；
Fig. 2 is the 3 d image data obtaining described manipulation user in Intelligent television control method the second embodiment of the present invention
Refinement schematic flow sheet；
Fig. 3 is according to the described 3 d image data obtained in Intelligent television control method the second embodiment of the present invention, raw
Become the refinement schematic flow sheet of corresponding three-dimensional reconstruction image；
Fig. 4 is the high-level schematic functional block diagram that intelligent television of the present invention controls device first embodiment；
Fig. 5 is that intelligent television of the present invention controls the refinement high-level schematic functional block diagram of generation module in device the second embodiment；
Fig. 6 is that intelligent television of the present invention controls the refinement high-level schematic functional block diagram of identification module in device the second embodiment.
The object of the invention realization, functional characteristics and advantage will in conjunction with the embodiments, are described further referring to the drawings.
Detailed description of the invention
Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
The present invention provides a kind of Intelligent television control method, is Intelligent television control method of the present invention the with reference to Fig. 1, Fig. 1
The schematic flow sheet of one embodiment.
In this embodiment, described Intelligent television control method comprises the following steps:
Step S10, uses imageing sensor to be scanned the manipulation user that intelligent television is current, obtains described manipulation and uses
The 3 d image data at family；
Along with the development of intelligent television technology, the function of intelligent television gets more and more, and increasingly model, is people's daily life
In requisite equipment.And everyone to like the demand of intelligent television be different, such as child is partial to like
Play game, see that cartoon, youngster like watching some entertainments, and old people prefers to watch serial.Therefore, if
Intelligent television can identify user automatically, and according to different users, automatically control and play content accordingly, then will be greatly improved use
Family uses the experience of intelligent television.
In order to realize this purpose, in the present embodiment, when user's intelligent television to be manipulated, such as user opens Intelligent electric
Depending on afterwards, intelligent television identifies the current manipulation user manipulating intelligent television the most automatically.Specifically, in the present embodiment, intelligence
Being previously provided with imageing sensor in TV, such as CCD (Charge-coupled Device, imageing sensor), CCD is one
Plant semiconductor device, it is possible to optical image is converted to the signal of telecommunication.Intelligent television is by using imageing sensor to current manipulation
The manipulation user of intelligent television is scanned, and obtains the current corresponding 3 d image data of manipulation user.
Step S20, according to the described 3 d image data obtained, generates corresponding three-dimensional reconstruction image；
Step S30, when described three-dimensional reconstruction image mates with the characteristic image prestored, knows according to the characteristic image of coupling
The most described manipulation user；
Step S40, after identifying described manipulation user, controls the broadcasting of described intelligent television according to described manipulation user
Content.
After getting the corresponding 3 d image data of active user, utilize 3D image reconstruction technology, according to acquisition
3 d image data, generate corresponding three-dimensional reconstruction image.
In the present embodiment, intelligent television is also previously stored with often manipulation user's characteristic of correspondence image.Such as, adopt in advance
The characteristic image often manipulating user of collection intelligent television, and the characteristic image of collection is stored in specific image data base.
Wherein, the often manipulation user of intelligent television includes at least one people, and therefore, the characteristic image of storage the most at least includes a width.When
After generating the three-dimensional reconstruction image that current manipulation user is corresponding, intelligent television is by three-dimensional corresponding for current manipulation user
Rebuild image to compare with at least one width characteristic image prestored, it is judged that whether the characteristic image of storage exists and works as
The characteristic image of the three-dimensional reconstruction image coupling that front manipulation user is corresponding.When the characteristic image of storage existing and current behaviour
When controlling the characteristic image of three-dimensional reconstruction image coupling corresponding to user, determine that current manipulation user is the characteristic image of this coupling
Corresponding user, namely identify current manipulation user.Use with current manipulation when the characteristic image of storage does not exist
During the characteristic image of the three-dimensional reconstruction image coupling that family is corresponding, namely illustrate that current manipulation user is not the characteristic image of storage
Corresponding user, now, intelligent television determines that current manipulation user is strange user, and intelligent television is not carried out at response
Reason.Alternatively, intelligent television uses existing general control mode to carry out program broadcasting.
After identifying current manipulation user, intelligent television, according to the current manipulation user identified, controls intelligence
The broadcasting content of energy TV.Such as, according to the current manipulation user identified, provide the programme of correspondence, and different behaviour
It is cartoon etc. that control user correspond to the programme of different programmes, such as child, and youthful programme is amusement joint
Mesh etc., the programme of old people is serial etc..And for example, according to the current manipulation user identified, current manipulation is shown
History corresponding to user plays record, and current manipulation user can play record according to history, plays easily and oneself likes
Program.
Intelligent television is owing to can control different broadcasting contents so that intelligent television is more according to different manipulation users
The intellectuality added and hommization, user can obtain the content oneself liked easily, without being manually operated control
The broadcasting content of intelligent television, thus significantly improve user's experience.
The scheme that the present embodiment provides, is scanned by the manipulation user current to intelligent television, it is thus achieved that current behaviour
The 3 d image data that control user is corresponding, and generate corresponding three-dimensional reconstruction image according to this 3 d image data, in this three-dimensional
When reconstruction image mates with the characteristic image prestored, identify current manipulation user, then according to the current behaviour identified
Control user, controls the broadcasting content of intelligent television, is identified manipulation user by then passing through three-dimensional reconstruction image, identifies user's
Degree of accuracy is high, thus improves intelligent television and carry out the accuracy of automatic subscriber control.
Further, as in figure 2 it is shown, propose Intelligent television control method of the present invention second based on first embodiment and implement
Example, in the present embodiment, described step S10 includes:
Step S11, uses imageing sensor respectively with multiple default scanning angles, and the manipulation to intelligent television is current is used
Family is scanned, and obtains multiple two-dimensional image datas of described manipulation user；
The scanning angle association of step S12, the multiple two-dimensional image datas that will obtain, and correspondence is stored in three-dimensional matrice
In, as the 3 d image data of described manipulation user.
In the present embodiment, intelligent television is by using imageing sensor, with multiple default scanning angles to current behaviour
The manipulation user of control intelligent television is scanned, and obtains the current corresponding two-dimensional image data of manipulation user.Such as, Intelligent electric
Depending on first current manipulation user being carried out translation scan under a certain angle, φ by ccd image sensor, with this angle, φ
For initial plane, from the side translation scan of the plane of delineation to other side, obtain the two-dimensional image data under this angle, φ,
And two-dimensional image data is stored in two-dimensional matrix [X, Y].
Then, ccd image sensor is rotated specific angle delta, be further continued for performing aforesaid operations, to current manipulation
User carries out translation scan, obtains the two-dimensional image data under current scan angle, be stored in equally two-dimensional matrix [X,
Y] in.The most again ccd image sensor is rotated specific angle delta, repeats aforesaid operations, obtain under multiple scanning angle
Multiple two-dimensional image datas, until the anglec of rotation has reached 180 °, stop current manipulation user is scanned.
Specifically, described step S11 includes:
Step a, uses imageing sensor respectively with multiple default scanning angles, the manipulation user current to intelligent television
Carry out translation scan, obtain corresponding multiple voltage signal data；
Step b, is converted to multiple data image signal data of correspondence, with described many by the plurality of voltage signal data
Individual numeral image signal data is as multiple two-dimensional image datas corresponding under multiple scanning angles.
Still as a example by ccd image sensor, intelligent television use ccd image sensor with some scanning angle to work as
When front manipulation user is scanned, obtain the voltage signal data of correspondence, then by analog digital conversion, by voltage signal data
Being converted to data image signal data, these data image signal data are the two dimensional image that current manipulation user is corresponding
Data.Then ccd image sensor is rotated certain scanning angle, in the manner described above, it is thus achieved that current manipulation user couple
Other two-dimensional image datas answered.
After multiple two-dimensional image datas corresponding under obtaining multiple scanning angle, intelligent television is multiple by obtain
Two-dimensional image data, and two-dimensional image data corresponding scanning angle association be stored in three-dimensional matrice [in [X, Y, Φ], as
The 3 d image data of current manipulation user.
Further, as it is shown on figure 3, in the present embodiment, described step S20 includes:
Step S21, carries out coordinate transform according to coordinate transform formula to described 3 d image data；
Step S22, carries out matrix beam calculating to the 3 d image data after coordinate transform, obtains multiple projection value, institute
State the projection value that each pixel that multiple projection value is three-dimensional reconstruction image is corresponding；
Step S23, is overlapped the plurality of projection value, it is thus achieved that three-dimensional reconstruction image.
Intelligent television is after getting the 3 d image data that current manipulation user is corresponding, specifically, and first basis
Coordinate transform formula carries out coordinate transform to this 3 d image data.[[X, Y, Φ] is two dimension under coordinate system x-y to three-dimensional matrice
The three-dimensional matrice that view data and corresponding scanning angle φ are constituted, each two-dimensional image data can transfer to scanning direction yr
Coordinate system x for vertical coordinater-yrRepresenting, wherein, the coordinate transform formula of conversion is as follows:
Then, the 3 d image data after coordinate transform is carried out matrix beam calculating, obtains each of three-dimensional reconstruction image
The projection value that pixel is corresponding.The projection value that each pixel is corresponding is overlapped, obtains three-dimensional reconstruction image.
Specifically, due in space any point can use rectangular coordinate (x, y), (xr,yr) or polar coordinate (r, φ) table
Show, it is assumed that projection pφ(xr) represent then have:
Wherein, a (x, y) andIt is the desired image of time domain space, namely required three-dimensional reconstruction image, x and y
Being rectangular coordinate, r and φ is then polar coordinate, A (ω1,ω2) it is the frequency spectrum of image in domain space, ω 1 and ω 2 is frequency domain
Component, and F represents Fourier transformation.
And according to inversefouriertransform formula:
And,Wherein,For the frequency spectrum of domain space image, ρ and θ is frequency domain
Component, for polar coordinate.According to projection theorem,A (x, y) the projection p under different visual angles φ can be passed throughφ(xr) one
Dimension Fourier transformation is tried to achieve:
Namely try to achieve:
According to multiple integral rectangular coordinate and polar relation:
Wherein, ω1=2 π ρ cos θ, ω2=2 π ρ sin θ, expression is between domain space polar coordinate and rectangular coordinate system
Transformational relation.
Therefore, have after fortran:
Wherein, φ represents different scanning directions, the frequency domain components of each pixel of three-dimensional reconstruction image that ρ is required, p
(ρ, φ) is the Fourier Representations of image projection.
Alternatively, due in coordinate transform formula, xrIt is to be zero with x=0, y=0, but in order to obtain
The coordinate system matched with ρ and p (ρ, φ), it is to avoid negative value, generally with one end of beam as zero.New coordinate is still with xrCome
Represent, but xrInitial point be no longer x=0, y=0, but the new coordinate after coordinate transform, i.e. add coordinate transform amount
Coordinate after CENT.Namely the side-play amount that CENT is new zero and former x-y initial point:
So, have:
Wherein, M is the size of two-dimensional matrix [X, Y].
Therefore, if assuming, the pixel size of ccd image sensor is N × N, for any pixel (i, j) and scan angle
Degree φ has:
Namely try to achieve the projection value of the pixel of three-dimensional reconstruction image.
Then, the projection value of each pixel is overlapped, obtains three-dimensional reconstruction image.Such as, first it is taken at first to sweep
Retouch under angle, from i=1,2,3 ..., N, j=1,2,3 ..., N cycle calculations obtains first projection value of three-dimensional reconstruction image.
Then, take ccd image sensor and rotate specific angle delta, under second scanning angle, equally from i=1,2,
3 ..., N, j=1,2,3 ..., N cycle calculations obtains second projection value of three-dimensional reconstruction image, and is folded by second projection value
It is added on first projection value.
Then, take ccd image sensor to continue to rotate this special angle Δ, under the 3rd scanning angle, equally from i
=1,2,3 ..., N, j=1,2,3 ..., N cycle calculations obtains the 3rd projection value of three-dimensional reconstruction image, and by the 3rd throwing
Shadow value is superimposed upon on first projection value.
It is calculated multiple projection values of three-dimensional reconstruction image the most successively, until the anglec of rotation reaches
Till 180 °.All it is added to obtaining projection value every time on first projection value, until projection value will be finally obtained be added to the
On one projection value, rebuild image and complete.
Further, in the present embodiment, before described step S30, also include:
Step c, when the quantity of the characteristic image prestored is several, the pixel value of every width characteristic image that will prestore successively
The pixel value summation of summation and described three-dimensional reconstruction image is compared, it may be judged whether the pixel value summation of existing characteristics image with
The pixel value summation coupling of described three-dimensional reconstruction image；
Step d, when the pixel value summation of the pixel value summation with described three-dimensional reconstruction image that there are several characteristic images
Timing, respectively that pixel value corresponding for many groups parallel section of described three-dimensional reconstruction image is corresponding with several characteristic images described
The pixel value of many group parallel sections carries out variance calculating, it is thus achieved that corresponding between described three-dimensional reconstruction image with several characteristic images described
Multiple pixel value variances；
Step e, determines the minimum pixel value variance in the plurality of pixel value variance, by described minimum pixel value variance pair
The characteristic image that the characteristic image answered mates as described three-dimensional reconstruction image.
After obtaining three-dimensional reconstruction image, calculate the pixel value summation of three-dimensional reconstruction image, meanwhile, calculate and prestore
The pixel value summation of characteristic image.Typically, the characteristic image prestored has several, namely it is special to calculate the every width prestored respectively
Levy the pixel value summation of image.When the quantity of the characteristic image prestored is several, successively by every width characteristic image of prestoring
The pixel value summation of pixel value summation and three-dimensional reconstruction image is compared, it may be judged whether the pixel value summation of existing characteristics image
Mate with the pixel value summation of three-dimensional reconstruction image.
When the pixel value summation of existing characteristics image is not mated with the pixel value summation of three-dimensional reconstruction image, illustrate not deposit
At the characteristic image mated with three-dimensional reconstruction image, namely illustrate that current manipulation user is not corresponding to the characteristic image of storage
User, now, intelligent television determines that current manipulation user is strange user, and intelligent television does not carry out response process.
When the pixel value summation of the pixel value summation with three-dimensional reconstruction image that there is a width characteristic image is mated, it is judged that when
Front manipulation user user corresponding to this width characteristic image, namely identify current manipulation user.
When the pixel value summation that there are several characteristic images is mated with the pixel value summation of three-dimensional reconstruction image, further
Ground, a section of selected three-dimensional reconstruction image, and determine that the section with three-dimensional reconstruction image of these several characteristic images is corresponding
Each section, calculate the pixel value that each section is corresponding respectively, then according to the pixel value that each section is corresponding, calculate
The pixel value root-mean-square of this section of three-dimensional reconstruction image and the corresponding section of several characteristic images, and according to pixel value root-mean-square
Obtain pixel value variance.
Then, then take other multiple sections parallel with selected section of three-dimensional reconstruction image, determine that several are special simultaneously
Levy each section corresponding with the section that three-dimensional reconstruction image takes again of image, in the manner described above, calculate three-dimensional reconstruction figure
Pixel value variance as multiple sections of taking again with the corresponding section of several characteristic images.
Afterwards, each pixel value variance calculated is compared, determines minimum pixel value variance therein, will be many
The characteristic pattern that the characteristic image corresponding to minimum pixel value variance in individual pixel value variance is mated as three-dimensional reconstruction image
Picture, identifies current manipulation user according to the characteristic image of this coupling, namely current manipulation user is the feature of this coupling
User corresponding to image.
The scheme that the present embodiment provides, by first by the pixel value summation of characteristic image prestored and three-dimensional reconstruction image
Pixel value summation is compared, and removes the unmatched characteristic image of pixel value summation, only the characteristic pattern to pixel value summation coupling
As mating further, thus reduce the lock-in range of coupling, accelerate matching process, this improves identification user
Efficiency.
The present invention provides a kind of intelligent television to control device.
It is the high-level schematic functional block diagram that intelligent television of the present invention controls device first embodiment with reference to Fig. 4, Fig. 4.
It is emphasized that it will be apparent to those skilled in the art that functional block diagram shown in Fig. 4 is only a preferable reality
Executing the exemplary plot of example, those skilled in the art controls the functional module of device around the intelligent television shown in Fig. 4, can enter easily
Supplementing of the functional module that row is new；The title of each functional module is self-defined title, is only used for auxiliary and understands this intelligent television control
Each program function block of device processed, is not used in restriction technical scheme, and the core of technical solution of the present invention is, each
Define the function that the functional module of title is to be reached.
In the present embodiment, described intelligent television control device includes:
Acquisition module 10, for using imageing sensor to be scanned the manipulation user that intelligent television is current, obtains institute
State the 3 d image data of manipulation user；
Along with the development of intelligent television technology, the function of intelligent television gets more and more, and increasingly model, is people's daily life
In requisite equipment.And everyone to like the demand of intelligent television be different, such as child is partial to like
Play game, see that cartoon, youngster like watching some entertainments, and old people prefers to watch serial.Therefore, if
Intelligent television can identify user automatically, and according to different users, automatically control and play content accordingly, then will be greatly improved use
Family uses the experience of intelligent television.
In order to realize this purpose, in the present embodiment, intelligent television is previously provided with intelligent television and controls device.When with
During the intelligent television to be manipulated of family, after such as user opens intelligent television, intelligent television controls device and the most automatically identifies currently
The manipulation user of manipulation intelligent television.Specifically, in the present embodiment, intelligent television is previously provided with imageing sensor, such as
CCD (Charge-coupled Device, imageing sensor), CCD are a kind of semiconductor device, it is possible to optical image is changed
For the signal of telecommunication.Acquisition module 10, by using imageing sensor to be scanned the manipulation user of current manipulation intelligent television, obtains
Take the current corresponding 3 d image data of manipulation user.
Generation module 20, for according to the described 3 d image data obtained, generating corresponding three-dimensional reconstruction image；
Identification module 30, for when described three-dimensional reconstruction image mates with the characteristic image prestored, according to the spy of coupling
Levy manipulation user described in image recognition；
Control module 40, for after identifying described manipulation user, controls described Intelligent electric according to described manipulation user
Depending on broadcasting content.
After acquisition module 10 gets the corresponding 3 d image data of active user, generation module 20 utilizes graphics
As reconstruction technique, according to the 3 d image data obtained, generate corresponding three-dimensional reconstruction image.
In the present embodiment, also it is previously stored with often manipulation user's characteristic of correspondence image.Such as, intelligent television is gathered in advance
The characteristic image often manipulating user, and the characteristic image of collection is stored in specific image data base.Wherein, Intelligent electric
Depending on often manipulation user include at least one people, therefore, the characteristic image of storage the most at least includes a width.When generation module 20 is raw
After having become three-dimensional reconstruction image corresponding to current manipulation user, identification module 30 is by three-dimensional corresponding for current manipulation user
Rebuild image to compare with at least one width characteristic image prestored, it is judged that whether the characteristic image of storage exists and works as
The characteristic image of the three-dimensional reconstruction image coupling that front manipulation user is corresponding.When the characteristic image of storage existing and current behaviour
When controlling the characteristic image of three-dimensional reconstruction image coupling corresponding to user, identification module 30 determines that current manipulation user is this coupling
The user corresponding to characteristic image, namely identify current manipulation user.When the characteristic image of storage not existing and working as
Before manipulation user corresponding three-dimensional reconstruction image coupling characteristic image time, namely illustrate current manipulation user be not storage
The user corresponding to characteristic image, now, identification module 30 determines that current manipulation user is strange user, now, does not enters
Row response processes.
After identification module 30 identifies current manipulation user, control module 40 is according to the current manipulation identified
User, controls the broadcasting content of intelligent television.Such as, according to the current manipulation user identified, provide the programme of correspondence,
And different manipulation users correspond to different programmes, the programme of such as child is cartoon etc., youthful program
Single is entertainment etc., and the programme of old people is serial etc..And for example, according to the current manipulation user identified, display
Current manipulation history corresponding to user plays record, and current manipulation user can play record according to history, broadcasts easily
Put the program oneself liked.
Control module 40 can control different broadcasting contents so that intelligent television is more according to different manipulation users
Intellectuality and hommization, user can obtain the content oneself liked easily, without being manually operated control intelligence
The broadcasting content of energy TV, thus significantly improve user's experience.
The scheme that the present embodiment provides, obtains, by acquisition module 10, the three-dimensional that the current manipulation user of intelligent television is corresponding
View data, generation module 20 generates corresponding three-dimensional reconstruction image according to this 3 d image data, at this three-dimensional reconstruction image
When mating with the characteristic image prestored, identification module 30 identifies current manipulation user, and control module 40 is according to identifying
Current manipulation user, controls the broadcasting content of intelligent television, is identified manipulation user by then passing through three-dimensional reconstruction image, knows
The degree of accuracy of other user is high, thus improves intelligent television and carry out the accuracy of automatic subscriber control.
Further, propose intelligent television of the present invention based on first embodiment and control device the second embodiment, in this enforcement
In example, described acquisition module 10 is used for:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is swept
Retouch, obtain multiple two-dimensional image datas of described manipulation user；
Will obtain multiple two-dimensional image datas, and correspondence scanning angle association be stored in three-dimensional matrice, as
The 3 d image data of described manipulation user.
In the present embodiment, acquisition module 10 is by using imageing sensor, with multiple default scanning angles to currently
The manipulation user of manipulation intelligent television is scanned, and obtains the current corresponding two-dimensional image data of manipulation user.Such as, pass through
First ccd image sensor carries out translation scan to current manipulation user under a certain angle, φ, is initial with this angle, φ
Plane, from the side translation scan of the plane of delineation to other side, obtains the two-dimensional image data under this angle, φ, and by two
Dimensional data image is stored in two-dimensional matrix [X, Y].
Then, ccd image sensor is rotated specific angle delta, be further continued for performing aforesaid operations, to current manipulation
User carries out translation scan, obtains the two-dimensional image data under current scan angle, be stored in equally two-dimensional matrix [X,
Y] in.The most again ccd image sensor is rotated specific angle delta, repeats aforesaid operations, obtain under multiple scanning angle
Multiple two-dimensional image datas, until the anglec of rotation has reached 180 °, stop current manipulation user is scanned.
Specifically, described acquisition module 10 is used for:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is put down
Move scanning, obtain corresponding multiple voltage signal data；And the plurality of voltage signal data is converted to many numbers of correspondence
Word image signal data, using the plurality of data image signal data as multiple scanning angles under corresponding multiple two dimensional images
Data.
Still as a example by ccd image sensor, acquisition module 10 uses ccd image sensor with some scanning angle pair
When current manipulation user is scanned, obtain the voltage signal data of correspondence, then by analog digital conversion, by voltage signal number
According to being converted to data image signal data, these data image signal data are the X-Y scheme that current manipulation user is corresponding
As data.Then ccd image sensor is rotated certain scanning angle, in the manner described above, it is thus achieved that current manipulation user
Other corresponding two-dimensional image datas.
After multiple two-dimensional image datas corresponding under acquisition module 10 obtains multiple scanning angle, many by obtaining
Individual two-dimensional image data, and two-dimensional image data corresponding scanning angle association be stored in three-dimensional matrice [in [X, Y, Φ], make
3 d image data for current manipulation user.
Further, as it is shown in figure 5, in the present embodiment, described generation module 20 includes:
Coordinate transformation unit 21, for carrying out coordinate transform according to coordinate transform formula to described 3 d image data；
First computing unit 22, for the 3 d image data after coordinate transform is carried out matrix beam calculating, obtains many
Individual projection value, the plurality of projection value is the projection value that each pixel of three-dimensional reconstruction image is corresponding；
Signal generating unit 23, for being overlapped the plurality of projection value, it is thus achieved that three-dimensional reconstruction image.
After acquisition module 10 gets the 3 d image data that current manipulation user is corresponding, specifically, coordinate becomes
Change unit 21 and first according to coordinate transform formula, this 3 d image data is carried out coordinate transform.[[X, Y, Φ] be three-dimensional matrice
The three-dimensional matrice that under coordinate system x-y, two-dimensional image data and corresponding scanning angle φ are constituted, each two-dimensional image data can
To transfer to scanning direction yrCoordinate system x for vertical coordinater-yrRepresenting, wherein, the coordinate transform formula of conversion is as follows:
Then, the first computing unit 22 carries out matrix beam calculating to the 3 d image data after coordinate transform, obtains three
Tie up the projection value that each pixel of reconstruction image is corresponding.The projection value that each pixel is corresponding is overlapped by signal generating unit 23,
To three-dimensional reconstruction image.
Specifically, due in space any point can use rectangular coordinate (x, y), (xr,yr) or polar coordinate (r, φ) table
Show, it is assumed that projection pφ(xr) represent then have:
Wherein, a (x, y) andIt is the desired image of time domain space, namely required three-dimensional reconstruction image, x and y
Being rectangular coordinate, r and φ is then polar coordinate, A (ω1,ω2) it is the frequency spectrum of image in domain space, ω 1 and ω 2 is frequency domain
Component, and F represents Fourier transformation.
And according to inversefouriertransform formula:
And,Wherein,For the frequency spectrum of domain space image, ρ and θ is frequency domain
Component, for polar coordinate.According to projection theorem,A (x, y) the projection p under different visual angles φ can be passed throughφ(xr) one
Dimension Fourier transformation is tried to achieve:
Namely try to achieve:
According to multiple integral rectangular coordinate and polar relation:
Wherein, ω1=2 π ρ cos θ, ω2=2 π ρ sin θ, expression is between domain space polar coordinate and rectangular coordinate system
Transformational relation.
Therefore, have after fortran:
Wherein, φ represents different scanning directions, the frequency domain components of each pixel of three-dimensional reconstruction image that ρ is required, p
(ρ, φ) is the Fourier Representations of image projection.
Alternatively, due in coordinate transform formula, xrIt is to be zero with x=0, y=0, but in order to obtain
The coordinate system matched with ρ and p (ρ, φ), it is to avoid negative value, generally with one end of beam as zero.New coordinate is still with xrCome
Represent, but xrInitial point be no longer x=0, y=0, but the new coordinate after coordinate transform, i.e. add coordinate transform amount
Coordinate after CENT.Namely the side-play amount that CENT is new zero and former x-y initial point:
So, have:
Wherein, M is the size of two-dimensional matrix [X, Y].
Therefore, if assuming, the pixel size of ccd image sensor is N × N, for any pixel (i, j) and scan angle
Degree φ has:
Namely try to achieve the projection value of the pixel of three-dimensional reconstruction image.
Then, the projection value of each pixel is overlapped by signal generating unit 23, obtains three-dimensional reconstruction image.Such as, first
Computing unit 22 is first taken under first scanning angle, from i=1, and 2,3 ..., N, j=1,2,3 ..., N cycle calculations obtains three
Dimension rebuilds first projection value of image.
Then, take ccd image sensor and rotate specific angle delta, under second scanning angle, equally from i=1,2,
3 ..., N, j=1,2,3 ..., N cycle calculations obtains second projection value of three-dimensional reconstruction image, and is folded by second projection value
It is added on first projection value.
Then, take ccd image sensor to continue to rotate this special angle Δ, under the 3rd scanning angle, equally from i
=1,2,3 ..., N, j=1,2,3 ..., N cycle calculations obtains the 3rd projection value of three-dimensional reconstruction image, and by the 3rd throwing
Shadow value is superimposed upon on first projection value.
First computing unit 22 is calculated multiple projection values of three-dimensional reconstruction image the most successively, until rotation
Till gyration has reached 180 °.Signal generating unit 23 is all added to obtaining projection value every time on first projection value, until will
Finally obtain projection value to be added on first projection value, rebuild image and complete.
Further, as shown in Figure 6, in the present embodiment, described identification module 30 includes:
Comparing unit 31, is used for when the quantity of the characteristic image prestored is several, the every width characteristic pattern that will prestore successively
The pixel value summation of picture is compared with the pixel value summation of described three-dimensional reconstruction image, it may be judged whether the picture of existing characteristics image
Element value summation is mated with the pixel value summation of described three-dimensional reconstruction image；
Second computing unit 32, for when there is the pixel value summation of several characteristic images and described three-dimensional reconstruction image
During pixel value summation coupling, respectively by pixel value corresponding for many groups parallel section of described three-dimensional reconstruction image and several spies described
The pixel value of the corresponding many group parallel sections levying image carries out variance calculating, it is thus achieved that described three-dimensional reconstruction image and several spies described
Levy multiple pixel value variances corresponding between image；
Recognition unit 33, for determining the minimum pixel value variance in the plurality of pixel value variance, by described minimum image
The characteristic image that element value variance characteristic of correspondence image mates as described three-dimensional reconstruction image, according to the described characteristic pattern of coupling
As identifying described manipulation user.
After obtaining three-dimensional reconstruction image, the second computing unit 32 calculates the pixel value summation of three-dimensional reconstruction image,
Meanwhile, the pixel value summation of the characteristic image prestored is calculated.Typically, the characteristic image prestored has several, namely to distinguish
Calculate the pixel value summation of the every width characteristic image prestored.When the quantity of the characteristic image prestored is several, comparing unit 31
Successively the pixel value summation of every width characteristic image prestored is compared with the pixel value summation of three-dimensional reconstruction image, it is judged that be
The pixel value summation of no existing characteristics image is mated with the pixel value summation of three-dimensional reconstruction image.
When the pixel value summation of existing characteristics image is not mated with the pixel value summation of three-dimensional reconstruction image, illustrate not deposit
At the characteristic image mated with three-dimensional reconstruction image, namely illustrate that current manipulation user is not corresponding to the characteristic image of storage
User, now, recognition unit 33 determines that current manipulation user is strange user.
When the pixel value summation of the pixel value summation with three-dimensional reconstruction image that there is a width characteristic image is mated, identify single
Unit 33 judges current manipulation user user corresponding to this width characteristic image, namely identifies current manipulation user.
When the pixel value summation that there are several characteristic images is mated with the pixel value summation of three-dimensional reconstruction image, further
Ground, the second computing unit 32 selectes a section of three-dimensional reconstruction image, and determine these several characteristic images and three-dimensional reconstruction
Each section that the section of image is corresponding, calculates the pixel value that each section is corresponding respectively, then corresponding according to each section
Pixel value, calculate the pixel value root-mean-square of this section of three-dimensional reconstruction image and the corresponding section of several characteristic images, and
Pixel value variance is obtained according to pixel value root-mean-square.
Then, the second computing unit 32 takes other multiple sections parallel with selected section of three-dimensional reconstruction image again,
Determine each section corresponding with the section that three-dimensional reconstruction image takes again of several characteristic images, in the manner described above, simultaneously
The two pixel value variances calculating multiple sections that three-dimensional reconstruction image takes again and the corresponding section of several characteristic images.
Afterwards, each pixel value variance calculated is compared by recognition unit 33, determines minimum pixel therein
Value variance, using the characteristic image corresponding to the minimum pixel value variance in multiple pixel value variances as three-dimensional reconstruction image institute
The characteristic image joined, identifies current manipulation user according to the characteristic image of this coupling, namely current manipulation user is for being somebody's turn to do
The user corresponding to characteristic image of coupling.
The scheme that the present embodiment provides, by comparing unit 31 first by the pixel value summation of characteristic image that prestores with three-dimensional
The pixel value summation rebuilding image is compared, and removes the unmatched characteristic image of pixel value summation, only to pixel value summation
The characteristic image joined mates further, thus reduces the lock-in range of coupling, accelerates matching process, therefore, improves
Identify the efficiency of user.
It should be noted that in this article, term " includes ", " comprising " or its other variant any are intended to non-row
Comprising of his property, so that include that the process of a series of key element, method, article or device not only include those key elements, and
And also include other key element being not expressly set out, or also include intrinsic for this process, method, article or device
Key element.In the case of there is no more restriction, statement " including ... " key element limited, it is not excluded that including this
The process of key element, method, article or device there is also other identical element.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art is it can be understood that arrive above-described embodiment side
Method can add the mode of required general hardware platform by software and realize, naturally it is also possible to by hardware, but a lot of in the case of
The former is more preferably embodiment.Based on such understanding, prior art is done by technical scheme the most in other words
The part going out contribution can embody with the form of software product, and this computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions with so that intelligent television performs described in each embodiment of the present invention
Method.
These are only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every utilize this
Equivalent structure or equivalence flow process that bright description and accompanying drawing content are made convert, or are directly or indirectly used in other relevant skill
Art field, is the most in like manner included in the scope of patent protection of the present invention.
Claims (10)
1. an Intelligent television control method, it is characterised in that described Intelligent television control method includes step:
Use imageing sensor that the manipulation user that intelligent television is current is scanned, obtain the 3-D view of described manipulation user
Data；
According to the described 3 d image data obtained, generate corresponding three-dimensional reconstruction image；
When described three-dimensional reconstruction image mates with the characteristic image prestored, use according to manipulation described in the characteristic image identification of coupling
Family；
After identifying described manipulation user, control the broadcasting content of described intelligent television according to described manipulation user.
2. Intelligent television control method as claimed in claim 1, it is characterised in that described employing imageing sensor is to Intelligent electric
Being scanned depending on current manipulation user, the step of the 3 d image data obtaining described manipulation user includes:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current be scanned,
Obtain multiple two-dimensional image datas corresponding under multiple described scanning angle；
Will obtain multiple two-dimensional image datas, and correspondence scanning angle association be stored in three-dimensional matrice, as described
The 3 d image data of manipulation user.
3. Intelligent television control method as claimed in claim 2, it is characterised in that described employing imageing sensor is respectively with many
Individual default scanning angle, is scanned the manipulation user that intelligent television is current, obtains under multiple described scanning angle corresponding
The step of multiple two-dimensional image datas include:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is carried out translation and sweeps
Retouch, obtain corresponding multiple voltage signal data；
The plurality of voltage signal data is converted to multiple data image signal data of correspondence, with the plurality of digital picture
Signal data is as multiple two-dimensional image datas corresponding under multiple scanning angles.
4. Intelligent television control method as claimed in claim 1, it is characterised in that described according to the described 3-D view obtained
Data, the step generating corresponding three-dimensional reconstruction image includes:
According to coordinate transform formula, described 3 d image data is carried out coordinate transform；
3 d image data after coordinate transform is carried out matrix beam calculating, obtains multiple projection value, the plurality of projection value
For the projection value that each pixel of three-dimensional reconstruction image is corresponding；
The plurality of projection value is overlapped, it is thus achieved that three-dimensional reconstruction image.
5. the Intelligent television control method as described in any one of claim 1-4, it is characterised in that described at described three-dimensional reconstruction
When image mates with the characteristic image prestored, before manipulating the step of user according to the characteristic image identification of coupling, also wrap
Include:
When the quantity of the characteristic image prestored is several, successively by the pixel value summation of every width characteristic image that prestores with described
The pixel value summation of three-dimensional reconstruction image is compared, it may be judged whether the pixel value summation of existing characteristics image and described Three-dimensional Gravity
Build the pixel value summation coupling of image；
When the pixel value summation that there are several characteristic images is mated with the pixel value summation of described three-dimensional reconstruction image, respectively will
Pixel value many groups corresponding with several characteristic images described that many groups parallel section of described three-dimensional reconstruction image is corresponding are parallel to be cutd open
The pixel value in face carries out variance calculating, it is thus achieved that multiple pixels corresponding between described three-dimensional reconstruction image with several characteristic images described
Value variance；
Determine the minimum pixel value variance in the plurality of pixel value variance, by described minimum pixel value variance characteristic of correspondence figure
As the characteristic image mated as described three-dimensional reconstruction image.
6. an intelligent television controls device, it is characterised in that described intelligent television controls device and includes:
Acquisition module, for using imageing sensor to be scanned the manipulation user that intelligent television is current, obtains described manipulation
The 3 d image data of user；
Generation module, for according to the described 3 d image data obtained, generating corresponding three-dimensional reconstruction image；
Identification module, for when described three-dimensional reconstruction image mates with the characteristic image prestored, according to the characteristic image of coupling
Identify described manipulation user；
Control module, for after identifying described manipulation user, controls broadcasting of described intelligent television according to described manipulation user
Put content.
7. intelligent television as claimed in claim 6 controls device, it is characterised in that described acquisition module is used for:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current be scanned,
Obtain multiple two-dimensional image datas of described manipulation user；
Will obtain multiple two-dimensional image datas, and correspondence scanning angle association be stored in three-dimensional matrice, as described
The 3 d image data of manipulation user.
8. intelligent television as claimed in claim 7 controls device, it is characterised in that described acquisition module is used for:
Use imageing sensor respectively with multiple default scanning angles, the manipulation user that intelligent television is current is carried out translation and sweeps
Retouch, obtain corresponding multiple voltage signal data；And the plurality of voltage signal data is converted to multiple digitized maps of correspondence
Image signal data, using the plurality of data image signal data as multiple scanning angles under corresponding multiple two dimensional image numbers
According to.
9. intelligent television as claimed in claim 6 controls device, it is characterised in that described generation module includes:
Coordinate transformation unit, for carrying out coordinate transform according to coordinate transform formula to described 3 d image data；
First computing unit, for the 3 d image data after coordinate transform is carried out matrix beam calculating, obtains multiple projection
Value, the plurality of projection value is the projection value that each pixel of three-dimensional reconstruction image is corresponding；
Signal generating unit, for being overlapped the plurality of projection value, it is thus achieved that three-dimensional reconstruction image.
10. the intelligent television as described in any one of claim 6-9 controls device, it is characterised in that described identification module includes:
Comparing unit, for when the quantity of the characteristic image prestored is several, the picture of every width characteristic image that will prestore successively
The pixel value summation of element value summation and described three-dimensional reconstruction image is compared, it may be judged whether the pixel value of existing characteristics image is total
And mate with the pixel value summation of described three-dimensional reconstruction image；
Second computing unit, for when the pixel value of the pixel value summation with described three-dimensional reconstruction image that there are several characteristic images
During summation coupling, respectively by pixel value corresponding for many groups parallel section of described three-dimensional reconstruction image and several characteristic images described
The pixel values of much more corresponding group parallel sections carry out variance calculating, it is thus achieved that described three-dimensional reconstruction image and several characteristic images described
Between corresponding multiple pixel value variances；
Recognition unit, for determining the minimum pixel value variance in the plurality of pixel value variance, by described minimum pixel value side
The characteristic image that difference characteristic of correspondence image mates as described three-dimensional reconstruction image, according to the described characteristic image identification of coupling
Described manipulation user.
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