CN108391052A - Information processing method and electronic equipment - Google Patents
Information processing method and electronic equipment Download PDFInfo
- Publication number
- CN108391052A CN108391052A CN201810201432.7A CN201810201432A CN108391052A CN 108391052 A CN108391052 A CN 108391052A CN 201810201432 A CN201810201432 A CN 201810201432A CN 108391052 A CN108391052 A CN 108391052A
- Authority
- CN
- China
- Prior art keywords
- image
- information
- processing mode
- image processing
- face
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Image Processing (AREA)
Abstract
The present invention relates to a kind of information processing method and electronic equipment, this method includes：The first image information is obtained using image acquisition units；When described first image information includes face information, the gender information of the face is identified using preordering method；At least one image processing mode corresponding with the gender information is determined based on the gender information；Collected described first image information is handled according at least one image processing mode of the determination.Personage's gender in the first image information of acquisition can be identified in the method for the present invention and electronic equipment, and determines at least one image processing mode corresponding with the gender based on gender, greatly improve the usage experience of user.
Description
Technical field
The present invention relates to a kind of information processing technology more particularly to a kind of information processing methods and electronic equipment.
Background technology
With the continuous improvement of people's living standards, the electronic equipments such as computer, television set, video camera, camera, mobile phone exist
More and more universal in people's daily life, DV, digital camera are widely used in average family, when people are poly-
When meeting, celebrating date celebration and out on tours, people always like shooting with video-corder required field with the camera function in electronic equipment
Scape preserves fine moment and sees as commemorating and be shown to relatives and friends, leaves good days memory at one's side, because
This electronic equipment with camera function has become the indispensable component part of people's life.
Currently, existing camera function disclosure satisfy that the requirement of most of consumer substantially, but use camera work(
Can be more to keep Wonderful time here, but the image that current camera function once obtains can not reach user's requirement,
Perfect image effect in order to obtain generally requires user and carries out post-processing, user's body using relevant image processing software
It tests poor.Or in order to obtain perfect image effect, user is needed to be compared the camera of profession according to environment, light etc. in real time
Parameter setting, and most of camera user can not complete this relative complex operation.
Invention content
Technical problem to be solved by the invention is to provide a kind of information processing method and electronic equipments, to improve user's body
It tests.
In order to solve the above technical problem, the present invention provides a kind of information processing methods, are applied to electronic equipment, described
Electronic equipment at least has an image acquisition units, and this method includes：
The first image information is obtained using described image collecting unit；
When described first image information includes face information, identify that the gender of the face is believed using preordering method
Breath；
Recommend corresponding image processing mode to user based on the gender information；
Collected described first image information is handled according to the image processing mode of user's selection.
Further, the step of the first image information of image acquisition units acquisition includes：Scene information is acquired, according to acquisition
Scene information camera parameter, pattern are adjusted in real time, utilize in real time adjustment after camera parameter obtain the first image letter
Breath.
Specifically, when the scene information performance current scene of acquisition is dim light or backlight, at least two sets of adjustment in real time is different
Camera parameter, first image information is at least obtained under each camera parameter environment.
In order to solve the above technical problems, the present invention also provides a kind of electronic equipment, the electronic equipment includes：
Image acquisition units, for obtaining the first image information；
Image identification unit is connect with image acquisition units, when the first image information includes face information, for profit
The gender information of the face is identified with preordering method；
Man-machine interaction unit, for recommending corresponding image processing mode to user based on the gender information；
Image processing unit, the image processing mode for being selected according to user, which handles collected described first image, to be believed
Breath.
Further, described image collecting unit includes：Scene information acquisition module and camera adjust module and figure in real time
As acquisition module, the scene acquisition module acquires scene information；The real-time adjustment unit of camera, for according to acquisition
Scene information adjusts camera parameter, pattern in real time, to reach best shooting effect；Described image acquisition module is used
The first image information is obtained under the camera parameter environment after real-time adjustment.
Compared with prior art, personage's gender in the first image information of acquisition is identified in the application, and is based on
Gender recommends corresponding image processing mode, greatly improves the usage experience of user.Separately based on the scene information of acquisition to phase
Machine parameter is adjusted in real time, can obtain better shooting effect.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by specification, rights
Specifically noted structure is realized and is obtained in claim and attached drawing.
Description of the drawings
Fig. 1 is the schematic diagram of information processing method embodiment 1 of the present invention；
Fig. 2 is the schematic diagram of information processing method embodiment 2 of the present invention；
Fig. 3 is the modular structure schematic diagram of electronic equipment embodiment 1 of the present invention；
Fig. 4 is the modular structure schematic diagram of electronic equipment embodiment 2 of the present invention.
Attached drawing is used for providing further understanding technical solution of the present invention, and a part for constitution instruction, with this
The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, in the following with reference to the drawings and specific embodiments
Technical solution of the present invention is described in further detail, so that those skilled in the art can be better understood from this hair
It is bright and can be practiced, but illustrated embodiment is not as a limitation of the invention.It should be noted that the case where not conflicting
Under, the features in the embodiments and the embodiments of the present application can be combined with each other.
Embodiment 1
As shown in Figure 1, information processing method embodiment 1 of the present invention, application and electronic equipment, the electronic equipment at least wrap
Image acquisition units are included, which includes but not limited to digital camera, mobile phone, the computer etc. for having the information processing function,
This method includes：
Step 101：The first image information is obtained using image acquisition units；
Image acquisition units can be according to the operation of user's pressing shutter come actual photographed image, also can be just with camera shooting
Head is found a view, without shooting image by pressing shutter.
It is selected according to the later stage of user, the image that step 101 obtains may need to carry out later image processing, therefore the figure
As need to first cache.
Step 102：When the first image information includes face information, the gender of the face is identified using preordering method
Information；
In general, facial image is stored with the matrix of higher-dimension, the row and column of the point matrix on facial image marks, the point
Tonal gradation be exactly respective element in matrix value, the problem of being identified to, gender is equivalent to carry out the matrix of higher-dimension
Processing, the method for generally use are to utilize dimensionality reduction technology, linear discriminant analysis (Linear Discriminant Analysis,
LDA) and principal component analysis (Principal Components Analysis, PCA) is common two kinds effective dimensionality reduction sides
Method.
The principle of PCA algorithms is exactly the vector by higher-dimension by a special eigenvectors matrix, projects to one
In the vector space of a low-dimensional, it is characterized as a low-dimensional vector, the speed of gender identification can be thus improved, due to men and women's property
Others having differences property between face, and there are similitudes for sex human face structure, so the face figure in higher dimensional space
The distribution of picture is that there is certain rules.Therefore, in gender identification process, PCA algorithms arrive facial image space dimensionality reduction
In the proper subspace of dimension 2 × 2, such dimension greatly reduces, and the major part for also retaining raw image data is useful
Information, which carries out gender identification to the facial image of expression shape change or slight inclination stronger robustness, and
With higher correct recognition rata and recognition speed.
PCA algorithms are used for gender classification, obtain the mean value of all training samples first, man, the female then asked respectively
The mean value of two class training samples in next step standardizes to two class training samples, the feature of the matrix after being standardized to
Amount.In this way, just having obtained the proper subspace of training sample, then, training sample and sample to be identified are standardized again
Respectively towards the eigen-subspace projection generated by training set, then gender is identified with Nearest neighbor rule.
Specifically, Principal Component Analysis may be used or using linear discriminant analysis algorithm and Principal Component Analysis Algorithm
In conjunction with.
LDA (Linear Discriminant Analysis) method is also referred to as linear discriminant analysis method.It select with
The orthogonal vector spread in class is as eigenface space, so as to suppress the difference unrelated with identification information between image
It is different, it is all less sensitive to illumination and human face expression variation.The final purpose of this method is exactly to find some features to make between class
The ratio of dispersion and within-cluster variance is maximum.
PCA algorithms are merged with the proper subspace that LDA algorithm constructs, then obtaining its fusion space will train
Sample, respectively towards the fusion feature space projection, is obtained identification feature and is finally completed using Nearest neighbor rule with sample to be identified
Gender identifies.
Usually, in order to improve accuracy of identification, geometric transformation is carried out by pretreatment and region histogram is handled, passes through this
The a little job securities invariance of face geometry (direction, size), essentially eliminates influence and the part illumination effect of background, carries
The high precision of identification.
Step 103：Recommend corresponding image processing mode to user based on the gender information；
Specifically, electronic equipment can be by modes such as display screen or voice prompts to the image procossing of user's recommendation response
Pattern.When electronic equipment has touch display screen or general display screen, image processing mode can be recommended by touch screen,
Can be recommended by way of speech play, certainly also can by the personal settings of user come configure obtain recommend push to handle mould
The approach of formula.
For example, image processing mode corresponding with women has following at least one：White skin, tooth whitening, go to wrinkle, scar of dispelling,
Nti-freckle, thin face, blush, eye shadow, electric eye, camber reparation, lip reparation, U.S. pupil, dark hair, hair style is replaced, color development changes, clothes change
Color, clothes fashion, Ironing, clothes smoothing wrinkle.
Or several major class such as can be reduced to beauty, hairdressing, apparel modeling, can also recommend under beauty pattern white skin,
Tooth whitening, go to wrinkle, scar of dispelling, nti-freckle, thin face, blush, eye shadow, electric eye, camber reparation, lip reparation, the specific figure such as U.S. pupil
As tupe, dark hair, hair style replacement, color development change etc. are provided under hairdressing pattern, clothes are provided under apparel modeling pattern
It changes colour, the recommendation functions such as clothes fashion, Ironing, smoothing wrinkle.
Usually, requirement of the male to image procossing is relatively easy, the image processing mode of recommendation may include with down toward
Few one kind：Tooth whitening, go to wrinkle, scar of dispelling, nti-freckle, camber reparation, lip reparation, dark hair.
With the development of the times, requirement of the young men to personal image is also higher and higher, correspondingly can also recommend more
The more rich image processing mode of memberization.
It, also can be to recommending more personalized image according to the face of portrait or head feature in order to more be bonded user demand
Tupe recommends " white skin " this image processing mode for example, when the image face colour of skin is more black；Image face especially
When to be canthus have wrinkle, recommend " going to wrinkle " this image processing mode；Image hair have it is more white when, recommend " dark hair " this
One image processing mode；When image shape of face is too wide, recommend " thin face " this image processing mode, when image face or hair deposit
In multiple possible features to be treated, recommend multiple images tupe.
Step 104：Collected described first image information is handled according to the image processing mode of user's selection.
If electronic equipment provides touch display screen and recommends image processing mode, shown in touch display screen when user sees
After one or more image processing modes, one or more images are selected by way of touch display screen according to a Man's Demands
Tupe；
If electronic equipment recommends image processing mode by non-tactile display screen, user can be according to the operation mould of electronic equipment
Formula is realized the selection of image processing mode or is abandoned by way of operation button or mouse or idler wheel.
If the image processing mode that electronic equipment is recommended by voice mode prompt, and prompt to select all or each image
The response mode of tupe, such as the corresponding button of all or each image processing mode, user is according to corresponding responder
Formula makes a choice.
Specifically, the image processing mode that electronic equipment is selected according to user first searches collected described first image
Meet the characteristics of objects of the image processing mode in information carries out corresponding image by process part, then to this by process part
Processing, such as：If user has selected the image processing mode of " going to wrinkle ", electronic equipment is to meeting " wrinkle " feature in image face
Part carry out wrinkle reduction treatment；If user has selected the image processing mode of " nti-freckle ", the first image information of electronic equipment pair
Part with " speckle ", " spot ", " patch " feature in face carries out nti-freckle, whitening processing.
Understandably, if user has selected multiple images tupe, electronic equipment to be sequentially or simultaneously directed to multiple figures
As tupe is handled accordingly.
In above method embodiment 1, personage's gender in the first image information of acquisition is identified, and is based on gender
Recommend corresponding image processing mode, greatly improves the usage experience of user.
Embodiment 2
As shown in Fig. 2, information processing method embodiment 2 of the present invention is applied to electronic equipment, the electronic equipment at least wraps
Image acquisition units are included, as previously mentioned, the electronic equipment includes but not limited to digital camera, hand with the information processing function
Mechanical, electrical brain etc.,
This method embodiment 2 includes：
Step 201：Scene information is acquired using image acquisition units；
In the embodiment 2, the scene information that step 201 acquires is mainly used for adjusting camera parameter, to obtain best figure
As effect, it can be acquired scene information just with camera, it, can also without acquiring scene information by pressing shutter
The operation of shutter is pressed come actual acquisition scene information according to user.
Step 202：Camera parameter, pattern are adjusted in real time according to the scene information of acquisition, after real-time adjustment
Camera parameter obtain the first image information；
Existing camera parameter mainly has ISO sensitivity (International Organization for standardization (International Standards
Organization) regulation sensitivity is chemical reaction velocity of the film to light, and film speed in manufacture film industry
Standard sensitivity of the camera sensor to light is referred to for digital camera), exposure index (Exposure Value) (be
A numerical value for indicating phtographic lens thang-kng ability is combined by shutter speed value and f-number), brightness, Main Patterns (can also claim
For function) there are stabilization, anti-blink, automatic flash, high dynamic range mode etc..
When the scene information performance current scene of acquisition is dim light or backlight, the different camera ginseng of at least two sets of adjustment in real time
Number, at least obtains first image information under each camera parameter environment.
For example, under low-light scene, first set camera parameter is：It is with an automatic light meter；Exposure index (EV) is that+2, ISO is photosensitive
Degree is 400-800；Second set of camera parameter be：Low light (lowlight).
In another example under backlight scene, first set camera parameter is：Open high dynamic range (High-Dynamic
Range, HDR) pattern；Second set of camera parameter is to open automatic flash light.
Abovementioned steps 201 and step 202, which are equivalent to, completes the step of image obtains.
Step 203：When the first image information includes face information, the gender of the face is identified using preordering method
Information；
Preordering method in the embodiment 2 is male's face, the women face sample of the face and storage in the image that will be acquired
It is matched, gender is identified according to matching result.
Because of areal variation, male's face of different geographical and the women face of different geographical are different, such as Europe
Male and male's face in Asia just have very big difference, specifically, the face sample of multiple regions can be stored, selected by client
Or corresponding Face Sample Storehouse is downloaded, it can also be prestored in the electronic device according to the sale of the electronic equipment or using area
The face sample of corresponding region.
Optionally, the face sample of a region can store the male and female face of each age level, such as old,
Middle age, young, juvenile, children and baby.
If the face in the image obtained is matched with women face, it is identified as women；If the face in the image obtained
It is matched with male's face, is then identified as women, further, also can recognize that specific age level.
Step 204：Recommend corresponding image processing mode to user based on the gender information；
Specifically, electronic equipment can be by modes such as display screen or voice prompts to the image procossing of user's recommendation response
Pattern.When electronic equipment has touch display screen or general display screen, image processing mode can be recommended by touch screen,
Can be recommended by way of speech play, certainly also can by the personal settings of user come configure obtain recommend push to handle mould
The approach of formula.
For example, image processing mode corresponding with women has following at least one：White skin, tooth whitening, go wrinkle, nti-freckle,
Thin face, eye shadow, electric eye, camber reparation, lip reparation, U.S. pupil, goes livid ring around eye, mill skin, dark hair, hair style replacement, color development to change at blush
Become, clothes change colour, clothes fashion, Ironing, clothes smoothing wrinkle.
Or several major class such as can be reduced to beauty, hairdressing, apparel modeling, can also recommend under beauty pattern white skin,
Tooth whitening, go to wrinkle, scar of dispelling, nti-freckle, the specific image processing mode such as thin face, provide dark hair under hairdressing pattern, hair style is replaced
Change, recommend color development etc., provided under apparel modeling pattern clothes change colour, the recommendation functions such as clothes fashion.
Usually, requirement of the middle-aging male to image procossing is relatively easy, and the image processing mode of recommendation may include
Following at least one：Tooth whitening, go to wrinkle, scar of dispelling, nti-freckle, camber reparation, lip reparation, dark hair.
With the development of the times, requirement of the young men to personal image is also higher and higher, correspondingly can also recommend more
The more rich image processing mode of memberization.
It, also can be to according to the face of portrait in image or head feature, body, garment features in order to more be bonded user demand
Recommend more personalized image processing mode, for example, when the image face colour of skin is more black, recommends " white skin " this image procossing
Pattern；When especially there is wrinkle at canthus for image face, recommend " going to wrinkle " this image processing mode；Have in image hair more
When white；Recommend " dark hair " this image processing mode；When image shape of face is too wide, recommend " thin face " this image procossing mould
Formula；When image face or hair there are it is multiple may feature to be treated when, recommend multiple images tupe；In image face
When upper or body has scar, recommend " scar of dispelling " this image processing mode.
Electronic equipment except for gender recognition result carry out recommend image processing mode recommend in addition to, can also be imitated with regard to image
Fruit is accordingly recommended, such as colored sketch effect, black and white sketch effect, scattered scape effect, scene effect etc..
In addition, electronic equipment can also provide the image processing mode of key optimization.
In above method embodiment 2, personage's gender in the first image information of acquisition is identified, and is based on gender
Recommend corresponding image processing mode, greatly improves the usage experience of user.Separately camera is joined based on the scene information of acquisition
Number is adjusted in real time, can obtain better shooting effect.
Step 205：Collected described first image information is handled according to the image processing mode of user's selection.
As described above, user can pass through touch display screen, operation button or mouse or idler wheel according to a Man's Demands
Mode or the corresponding response mode of voice prompt make a choice.
Specifically, the image processing mode that electronic equipment is selected according to user first searches collected described first image
Meet the characteristics of objects of the image processing mode in information carries out corresponding image by process part, then to this by process part
Processing, such as：If user has selected the image processing mode of " going to wrinkle ", electronic equipment is to meeting " wrinkle " feature in image face
Part carry out wrinkle reduction treatment；If user has selected the image processing mode of " nti-freckle ", have in electronic equipment image face
" speckle ", " spot ", the part progress nti-freckle of " patch " feature, whitening processing.
Other image processing modes are similar with mode listed above, i.e., according to the user's choice in image, the image
The process part of tupe is handled, and realizes the optimization to image effect.
Understandably, if user has selected multiple images tupe, electronic equipment to be sequentially or simultaneously directed to multiple figures
As tupe is handled accordingly.
In addition, if user has selected black and white sketch effect, electronic equipment will carry out discoloration, increase luminance contrast,
A series of processing such as color range are adjusted, image is made to generate black and white sketch effect；If user has selected scattered scape effect, electronic equipment
By the fuzzy background parts eliminated other than personage；If user has selected scene effect, electronic equipment will be except personage is in addition to
Background parts replace with special scenes, make effect of the generation personage under some special scenes, enhance the usage experience of user.
If user has selected the tupe that a key optimizes, electronic equipment that can carry out check and correction white balance, denoising etc.
Processing makes image generate better display effect.
In order to realize above method embodiment 1, the present invention also provides a kind of electronic equipment embodiments 1, as shown in figure 3,
The electronic equipment 300 includes：
Image acquisition units 301, for obtaining the first image information；
Image identification unit 302 is connect with image acquisition units 301, when the first image information includes face information,
Gender information for identifying the face using preordering method；
As described above, the preordering method is Principal Component Analysis Algorithm or linear discriminant analysis algorithm and principal component analysis
The combination of algorithm.
Optionally, the preordering method is to match the image of acquisition with male's face of storage, women face sample, root
Gender is identified according to matching result
Man-machine interaction unit 303 is connect with image identification unit 402, for being recommended to user based on the gender information
Corresponding image processing mode；
Specifically, man-machine interaction unit can be by modes such as display screen or voice prompts to the image of user's recommendation response
Tupe.When electronic equipment has touch display screen or general display screen, image procossing mould can be recommended by touch screen
Formula can also be recommended by way of speech play, also can obtain pushing to for recommendation by the personal settings of user to configure certainly
The approach of tupe.
If man-machine interaction unit, which provides touch display screen, recommends image processing mode, shown in touch display screen when user sees
After the one or more image processing modes shown, one or more is selected by way of touch display screen according to a Man's Demands
Image processing mode；
If man-machine interaction unit recommends image processing mode by non-tactile display screen, user can be according to the behaviour of electronic equipment
Operation mode is realized the selection of image processing mode or is abandoned by way of operation button or mouse or idler wheel.
If the image processing mode that man-machine interaction unit is recommended by voice mode prompt, and prompt to select all or each
The response mode of image processing mode, such as the corresponding button of all or each image processing mode, user ring according to corresponding
Mode is answered to make a choice.
It, also can be to recommending more personalized image according to the face of portrait or head feature in order to more be bonded user demand
Tupe recommends " white skin " this image processing mode for example, when the image face colour of skin is more black；Image face especially
When to be canthus have wrinkle, recommend " going to wrinkle " this image processing mode；Image hair have it is more white when, recommend " dark hair " this
One image processing mode；When image shape of face is too wide, recommend " thin face " this image processing mode, when image face or hair deposit
In multiple possible features to be treated, recommend multiple images tupe.
Image processing unit 304 is connect with man-machine interaction unit 303, the image processing mode for being selected according to user
Handle collected described first image information.
The image processing mode that image processing unit is selected according to user is first searched and meets the image in the first image information
The characteristics of objects of tupe carries out corresponding image procossing by process part, then to this by process part.
Corresponding to embodiment of the method 2, as shown in figure 4, described image collecting unit 301 includes：Scene information acquisition module
3011, camera adjusts module 3012 and image capture module 3013 in real time, wherein：
Described image acquisition module acquires scene information；
The real-time adjustment unit of camera, the scene information for being acquired according to image information collecting module join camera
Number, pattern are adjusted in real time, to reach best shooting effect；
Described image acquisition module, for obtaining the first image information under the camera parameter environment after real-time adjustment.
The scene information acquisition module collect current scene be dim light or backlight when, the camera adjusts module in real time
At least two sets of different camera parameters are adjusted, described image acquisition module at least acquires a figure under each camera parameter environment
Picture.
Quality of taking pictures can guarantee using technical scheme, and reduce user's operation, promote user experience.
Step shown in the flowchart of the accompanying drawings can be in the computer system of such as a group of computer-executable instructions
It executes.Also, although logical order is shown in flow charts, and it in some cases, can be with suitable different from herein
Sequence executes shown or described step.
Those skilled in the art should be understood that each component part for the electronic equipment that the embodiment of the present application is provided, with
And all or part of step in method can instruct related hardware to complete by program, described program can be stored in computer
In readable storage medium storing program for executing, such as read-only memory, disk or CD.They can be concentrated on a single computing device, or
It is distributed on network constituted by multiple computing devices.Optionally, they can with computing device can perform program code come
It realizes.It is performed by computing device it is thus possible to be stored in storage device, or they are fabricated to each
Integrated circuit modules, or by them multiple modules or step be fabricated to single integrated circuit module and realize.In this way, this
Invention is not limited to any specific hardware and software and combines.
Various units described in the embodiment of the present invention, module are only a kind of examples divided according to its function,
Understandably, in the case where electronic equipment realizes identical function, those skilled in the art can provide other one or more work(
Wherein any one or more function modules can be used a functional entity device or list by energy dividing mode in specific application
Member realizes that undeniably, the above mapping mode is within the application protection domain.
Although disclosed herein embodiment it is as above, the content only for ease of understanding the present invention and use
Embodiment is not limited to the present invention.Technical staff in any fields of the present invention is taken off not departing from the present invention
Under the premise of the spirit and scope of dew, any modification and variation, but the present invention can be carried out in the form and details of implementation
Scope of patent protection, still should be subject to the scope of the claims as defined in the appended claims.
Claims (10)
1. a kind of information processing method, it is characterised in that：This method includes：
The first image information is obtained using image acquisition units；
When described first image information includes face information, the gender information of the face is identified using preordering method；
At least one image processing mode corresponding with the gender information is determined based on the gender information；
Collected described first image information is handled according at least one image processing mode of the determination.
2. information processing method as described in claim 1, it is characterised in that：Image acquisition units obtain the first image information
Step includes：Scene information is acquired, camera parameter, pattern are adjusted in real time according to the scene information of acquisition, using real-time
Camera parameter after adjustment obtains the first image information.
3. information processing method as claimed in claim 2, it is characterised in that：The scene information performance current scene of acquisition is weak
When light or backlight, at least two sets of different camera parameters are adjusted in real time, one first is at least obtained under each camera parameter environment
Image information.
4. information processing method as described in claim 1, it is characterised in that：The preordering method be Principal Component Analysis Algorithm or
For the combination of linear discriminant analysis algorithm and Principal Component Analysis Algorithm；
Alternatively, the preordering method is to match the image of acquisition with male's face of storage, women face sample, according to matching
As a result the other at least one of identity.
5. information processing method as described in claim 1, it is characterised in that：Image processing mode corresponding with women has following
It is at least one：White skin, tooth whitening, go wrinkle, nti-freckle, thin face, blush, eye shadow, electric eye, camber reparation, lip reparation, U.S.'s pupil,
Dark hair, hair style are replaced, color development changes, clothes change colour, clothes fashion, Ironing, clothes smoothing wrinkle；
Image processing mode corresponding with male has following at least one：Tooth whitening, go to wrinkle, scar of dispelling, nti-freckle, camber reparation,
Lip reparation, dark hair.
6. information processing method as described in claim 1, which is characterized in that further include：User selects at key optimization image
Reason pattern.
7. a kind of electronic equipment, which is characterized in that the electronic equipment includes：
Image acquisition units, for obtaining the first image information；
Image identification unit is connect with image acquisition units, when the first image information includes face information, for using in advance
The method of determining identifies the gender information of the face；It is determined based on the gender information corresponding with the gender information at least one
Image processing mode；
Image processing unit, for handling collected first figure according at least one image processing mode of the determination
As information.
8. electronic equipment as claimed in claim 7, it is characterised in that：Described image collecting unit includes：Scene information acquires
Module and camera adjust module and image capture module in real time, and the scene acquisition module acquires scene information；The camera is real
When adjustment unit, for being adjusted in real time to camera parameter, pattern according to the scene information of acquisition, to reach best shooting
Effect；Described image acquisition module, for obtaining the first image information under the camera parameter environment after real-time adjustment；
When it is dim light or backlight that the scene information acquisition module, which collects current scene, the camera adjusts module tune in real time
Whole at least two sets of different camera parameters, described image acquisition module at least acquire an image under each camera parameter environment.
9. electronic equipment as claimed in claim 7, it is characterised in that：Image processing mode corresponding with women have it is following at least
It is a kind of：White skin, tooth whitening, go wrinkle, nti-freckle, thin face, blush, eye shadow, electric eye, camber reparation, lip reparation, U.S.'s pupil, dark hair,
Hair style is replaced, color development changes, clothes change colour, clothes fashion, Ironing, clothes smoothing wrinkle；
Image processing mode corresponding with male has following at least one：Tooth whitening, go to wrinkle, scar of dispelling, nti-freckle, camber reparation,
Lip reparation, dark hair.
10. electronic equipment as claimed in claim 7, which is characterized in that further include：
Man-machine interaction unit, the instruction for selecting a key to optimize image processing mode for receiving user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810201432.7A CN108391052A (en) | 2013-01-21 | 2013-01-21 | Information processing method and electronic equipment |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810201432.7A CN108391052A (en) | 2013-01-21 | 2013-01-21 | Information processing method and electronic equipment |
| CN201310022724.1A CN103945104B (en) | 2013-01-21 | 2013-01-21 | Information processing method and electronic equipment |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310022724.1A Division CN103945104B (en) | 2013-01-21 | 2013-01-21 | Information processing method and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108391052A true CN108391052A (en) | 2018-08-10 |
Family
ID=51192571
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810201432.7A Pending CN108391052A (en) | 2013-01-21 | 2013-01-21 | Information processing method and electronic equipment |
| CN201310022724.1A Active CN103945104B (en) | 2013-01-21 | 2013-01-21 | Information processing method and electronic equipment |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310022724.1A Active CN103945104B (en) | 2013-01-21 | 2013-01-21 | Information processing method and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN108391052A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109271957A (en) * | 2018-09-30 | 2019-01-25 | 厦门市巨龙信息科技有限公司 | Face gender identification method and device |
| CN110290288A (en) * | 2019-06-03 | 2019-09-27 | Oppo广东移动通信有限公司 | Image processor, image processing method, filming apparatus and electronic equipment |
| CN110991213A (en) * | 2019-05-14 | 2020-04-10 | 杨春燕 | Automatic big data distribution platform |
| CN114189621A (en) * | 2020-09-14 | 2022-03-15 | 阿里巴巴集团控股有限公司 | Image processing method and device |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104503749B (en) * | 2014-12-12 | 2017-11-21 | 广东欧珀移动通信有限公司 | Photo processing method and electronic equipment |
| CN106507021A (en) * | 2015-09-07 | 2017-03-15 | 腾讯科技（深圳）有限公司 | Method for processing video frequency and terminal device |
| CN106384077A (en) * | 2016-08-29 | 2017-02-08 | 广东工业大学 | Low bit rate video based camera recognition method and device |
| CN106612398B (en) * | 2016-12-27 | 2020-06-05 | 宇龙计算机通信科技(深圳)有限公司 | Method and system for quick photographing |
| CN110120219A (en) * | 2019-05-05 | 2019-08-13 | 安徽省科普产品工程研究中心有限责任公司 | A kind of intelligent sound exchange method, system and device |
| CN110113539A (en) * | 2019-06-13 | 2019-08-09 | Oppo广东移动通信有限公司 | Exposal control method, device, electronic equipment and storage medium |
| CN110276892A (en) * | 2019-06-26 | 2019-09-24 | 深圳市腾讯计算机***有限公司 | Self-service method, apparatus, equipment and storage medium |
| CN111182203B (en) * | 2019-11-19 | 2022-07-29 | 广东小天才科技有限公司 | Method for guiding user to take pictures and intelligent sound box |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1519640A (en) * | 2003-02-03 | 2004-08-11 | 欧姆龙株式会社 | Photo camera and its control method, control program and computer readable medium |
| CN1522048A (en) * | 2003-02-12 | 2004-08-18 | ŷķ����ʽ���� | Image editing apparatus |
| CN1522052A (en) * | 2003-01-17 | 2004-08-18 | ŷķ����ʽ���� | Image pickup device |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06176206A (en) * | 1992-12-09 | 1994-06-24 | Casio Comput Co Ltd | Character recognizing device |
| US7082211B2 (en) * | 2002-05-31 | 2006-07-25 | Eastman Kodak Company | Method and system for enhancing portrait images |
| CN1967561A (en) * | 2005-11-14 | 2007-05-23 | 株式会社日立制作所 | Method for making gender recognition handler, method and device for gender recognition |
| CN101521743A (en) * | 2008-02-27 | 2009-09-02 | 华晶科技股份有限公司 | Operating method of digital camera with game functions |
| CN106919911A (en) * | 2008-07-30 | 2017-07-04 | 快图有限公司 | Modified using the automatic face and skin of face detection |
| CN101510254A (en) * | 2009-03-25 | 2009-08-19 | 北京中星微电子有限公司 | Method for updating gender classifier in image analysis and the gender classifier |
| KR101594295B1 (en) * | 2009-07-07 | 2016-02-16 | 삼성전자주식회사 | Photographing apparatus and photographing method |
| CN102111491A (en) * | 2009-12-29 | 2011-06-29 | 比亚迪股份有限公司 | Mobile equipment with picture-taking function and face recognition processing method thereof |
| JP2011221812A (en) * | 2010-04-09 | 2011-11-04 | Sony Corp | Information processing device, method and program |
| CN102238331B (en) * | 2010-04-21 | 2015-05-13 | 奥林巴斯映像株式会社 | Photographic device |
| NL1037996C2 (en) * | 2010-05-31 | 2011-12-01 | Je Holding B V | Computer programme as well as a computer and a computer system comprising such a computer programme, as a result of which computer programme the computer and the computer system are suitable for receiving and processing visual material in a stuctured way and for generating and sending a report desired by the user in the field of partner selection and/or model selection. |
| US8861800B2 (en) * | 2010-07-19 | 2014-10-14 | Carnegie Mellon University | Rapid 3D face reconstruction from a 2D image and methods using such rapid 3D face reconstruction |
| JP2012173761A (en) * | 2011-02-17 | 2012-09-10 | Nifty Corp | Information processor, information processing method and program |
-
2013
- 2013-01-21 CN CN201810201432.7A patent/CN108391052A/en active Pending
- 2013-01-21 CN CN201310022724.1A patent/CN103945104B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1522052A (en) * | 2003-01-17 | 2004-08-18 | ŷķ����ʽ���� | Image pickup device |
| CN1519640A (en) * | 2003-02-03 | 2004-08-11 | 欧姆龙株式会社 | Photo camera and its control method, control program and computer readable medium |
| CN1522048A (en) * | 2003-02-12 | 2004-08-18 | ŷķ����ʽ���� | Image editing apparatus |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109271957A (en) * | 2018-09-30 | 2019-01-25 | 厦门市巨龙信息科技有限公司 | Face gender identification method and device |
| CN109271957B (en) * | 2018-09-30 | 2020-10-20 | 厦门市巨龙信息科技有限公司 | Face gender identification method and device |
| CN110991213A (en) * | 2019-05-14 | 2020-04-10 | 杨春燕 | Automatic big data distribution platform |
| CN110290288A (en) * | 2019-06-03 | 2019-09-27 | Oppo广东移动通信有限公司 | Image processor, image processing method, filming apparatus and electronic equipment |
| CN110290288B (en) * | 2019-06-03 | 2022-01-04 | Oppo广东移动通信有限公司 | Image processor, image processing method, photographing device, and electronic apparatus |
| CN114189621A (en) * | 2020-09-14 | 2022-03-15 | 阿里巴巴集团控股有限公司 | Image processing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103945104B (en) | 2018-03-23 |
| CN103945104A (en) | 2014-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103945104B (en) | Information processing method and electronic equipment | |
| JP7020626B2 (en) | Makeup evaluation system and its operation method | |
| CN110235169B (en) | Cosmetic evaluation system and operation method thereof | |
| CN108537628B (en) | Method and system for creating customized products | |
| US8488023B2 (en) | Identifying facial expressions in acquired digital images | |
| US10607372B2 (en) | Cosmetic information providing system, cosmetic information providing apparatus, cosmetic information providing method, and program | |
| JP6750504B2 (en) | Information processing apparatus, information processing method, and program | |
| CN107818305A (en) | Image processing method, device, electronic equipment and computer-readable recording medium | |
| US20100205177A1 (en) | Object identification apparatus and method for identifying object | |
| US20170169501A1 (en) | Method and system for evaluating fitness between wearer and eyeglasses | |
| CN109690617A (en) | System and method for digital vanity mirror | |
| CN107886484A (en) | U.S. face method, apparatus, computer-readable recording medium and electronic equipment | |
| CN104811684B (en) | A kind of three-dimensional U.S. face method and device of image | |
| CN108810406A (en) | Portrait light efficiency processing method, device, terminal and computer readable storage medium | |
| CN107766831A (en) | Image processing method, device, mobile terminal and computer-readable recording medium | |
| US20190095747A1 (en) | Nail contour detecting device, nail contour detecting method and storage medium | |
| Ruminski et al. | Interactions with recognized patients using smart glasses | |
| CN108985873A (en) | Cosmetics recommended method, the recording medium for being stored with program, the computer program to realize it and cosmetics recommender system | |
| WO2010133661A1 (en) | Identifying facial expressions in acquired digital images | |
| CN111008971B (en) | Aesthetic quality evaluation method of group photo image and real-time shooting guidance system | |
| CN103957396A (en) | Image processing method and device used when tongue diagnosis is conducted with intelligent device and equipment | |
| CN105069180A (en) | Hair style design method and system | |
| EP2790153A2 (en) | Environment evaluation apparatus, method and program | |
| CN105095917A (en) | Image processing method, device and terminal | |
| CN113239220A (en) | Image recommendation method and device, terminal and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180810 |