CN109274951A - Depth computing method and its device - Google Patents

Depth computing method and its device Download PDF

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Publication number
CN109274951A
CN109274951A CN201710571870.8A CN201710571870A CN109274951A CN 109274951 A CN109274951 A CN 109274951A CN 201710571870 A CN201710571870 A CN 201710571870A CN 109274951 A CN109274951 A CN 109274951A
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diamond
pixel
shaped area
depth
pixel value
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CN109274951B (en
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卢志德
蔡东佐
杨荣浩
庄志远
郭锦斌
杜宗原
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Shenzhen Yuzhan Precision Technology Co ltd
Hon Hai Precision Industry Co Ltd
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Shenzhen Yuzhan Precision Technology Co ltd
Hon Hai Precision Industry Co Ltd
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Abstract

A kind of depth computing method, comprising the following steps: receive the first timing image information group (including the first multi-view image information and second multi-view image information) in double-visual angle image;Point establishes one first diamond-shaped area centered on the first pixel in the first multi-view image;Calculate the pixel value summation of the pixel in the first diamond-shaped area;A pixel region is established in the second multi-view image according to predetermined depth stratum and first pixel, and is put centered on each pixel in pixel region and established one second diamond-shaped area respectively;Calculate the pixel value summation of the pixel in every one second diamond-shaped area;And be compared the pixel value summation in the first diamond-shaped area with the pixel value summation in every one second diamond-shaped area respectively, to calculate the first timing image depth information.The present invention also provides a kind of settings of depth calculation.Above-mentioned depth computing method and its device, computational complexity is low, and calculating speed is fast and has good depth calculation accuracy rate.

Description

Depth computing method and its device
Technical field
The present invention relates to picture depth computing technique field more particularly to a kind of utilization Stereo matching (Stereo Matching) the depth computing method and its device of technology.
Background technique
In the epoch now that development in science and technology is maked rapid progress, stereopsis multimedia system is gradually paid attention to by industry.? In the application of stereopsis, double-visual angle image comparison processing technique is the most common stereopsis processing technique of current industry.? In the prior art, double-visual angle image comparison technology is first to calculate image depth distribution map, double-visual angle shadow according to double-visual angle image The problem for having computation complexity higher as comparison technology.Therefore, the double-visual angle lower with computation complexity how is designed The depth computing method of image comparison is one of the direction that industry is constantly endeavoured.
Summary of the invention
In view of this, operand is small it is necessary to provide a kind of depth computing method and its device, calculating speed is fast.
An embodiment of the present invention provides a kind of depth computing method, and the depth computing method includes: reception double-visual angle The first timing image information group in image, the first timing image information group include the first multi-view image information and the second view Angle image information;Point establishes one first diamond-shaped area centered on the first pixel in first multi-view image;Calculate institute State the pixel value summation of the pixel in the first diamond-shaped area;According to predetermined depth stratum and first pixel described A pixel region is established in two multi-view images, the pixel region includes multiple second pixels, and with every one second picture It is put centered on vegetarian refreshments and establishes one second diamond-shaped area respectively;Calculate the pixel value of the pixel in every one second diamond-shaped area Summation;And it is the pixel value summation in first diamond-shaped area is total with the pixel value in every one second diamond-shaped area respectively Be compared, to calculate the first timing image depth information;Wherein, first diamond-shaped area and second diamond-shaped area Size and shape it is all the same.
An embodiment of the present invention provides a kind of depth calculation device, for carrying out depth calculation to double-visual angle image.Institute Stating depth calculation device includes: memory;At least one processor;And one or more modules, one or more of modules Storage in the memory, and is executed by least one described processor.One or more of modules include: reception mould Block, for receiving the first timing image information group in the double-visual angle image, the first timing image information group includes the One multi-view image information and the second multi-view image information;First establishes module, for first in first multi-view image Point establishes one first diamond-shaped area centered on pixel;First computing module, for calculating the picture in first diamond-shaped area The pixel value summation of vegetarian refreshments;Second establishes module, is used for according to predetermined depth stratum and first pixel described second A pixel region is established in multi-view image, the pixel region includes multiple second pixels, and with every one second pixel It is put centered on point and establishes one second diamond-shaped area respectively;Second computing module, for calculating in every one second diamond-shaped area Pixel pixel value summation;And depth calculation module, for the pixel value summation in first diamond-shaped area to be distinguished It is compared with the pixel value summation in every one second diamond-shaped area, to calculate the first timing image depth information;Wherein, The size and shape of first diamond-shaped area and second diamond-shaped area are all the same.
Compared with prior art, above-mentioned depth computing method and its device, computational complexity is low, and calculating speed is fast and has Good depth calculation accuracy rate.
Detailed description of the invention
Fig. 1 is the operation environment figure of the depth calculation device of an embodiment of the present invention.
Fig. 2 is the functional block diagram of the depth calculation device of an embodiment of the present invention.
Fig. 3 A is that an embodiment of the present invention centered on pixel o'clock establishes diamond-shaped area in the first multi-view image Schematic diagram.
Fig. 3 B is that an embodiment of the present invention centered on pixel o'clock establishes diamond-shaped area in the second multi-view image Schematic diagram.
Fig. 4 is the functional block diagram of the depth calculation device of another embodiment of the present invention.
Fig. 5 is the step flow chart of the depth computing method of an embodiment of the present invention.
Fig. 6 is the step flow chart of the depth computing method of another embodiment of the present invention.
Main element symbol description
The present invention that the following detailed description will be further explained with reference to the above drawings.
Specific embodiment
Referring to FIG. 1-2, in one embodiment, a kind of depth calculation device 100 is used for the double-visual angle image to input 200 (Binocular Video) carry out depth information calculating.The double-visual angle image 200 of input is believed including multiple stereoscopic images Breath group.Multiple stereoscopic image information group can be corresponding with each timing, and each stereoscopic image information group includes two groups pairs It should be to the image information of different perspectives.
For example, it is corresponded in the double-visual angle image 200 of input to the first timing image information group (first of the first timing The relevant information that timing image is included) it include the first multi-view image information V1_t1 and the second multi-view image information V2_t1.It is defeated It is corresponded in the double-visual angle image 200 entered to the second timing image information group (phase that the second timing image is included of the second timing Close information) it include the first multi-view image information V1_t2 and the second multi-view image information V2_t2.Wherein, the first multi-view image information V1_t1 and V1_t2 can be the first timing, the left eye multi-view image information of the second timing respectively;Second multi-view image information V2_ T1 and V2_t2 can be the first timing, the right-eye perspectives image information of the second timing respectively.First timing and the second timing can be with It is the time point being mutually adjacently.
Depth calculation device 100 includes memory 10 and at least one processor 20.Memory 10 is stored with one or more A module, one or more of modules are executed by least one processor 20.One or more of modules are sequencing generation Code can simultaneously be executed by processor 20, to complete function provided by the invention.
One or more of modules may include receiving module 11, first establish module 12, the first computing module 13, Two establish module 14, the second computing module 15 and depth calculation module 16.It is specific that the so-called module of the present invention can be completion one The program segment of function.
Receiving module 11 receives the first timing image information group in the double-visual angle image 200 of input.First timing image Information group includes the first multi-view image information V1_t1 and the second multi-view image information V2_t1.First multi-view image I1_t1 and Two multi-view image I2_t1 include multiple pixels, and each pixel can be indicated by XY coordinate points.First multi-view image The lower left corner pixel of I1_t1 and the second multi-view image I2_t1 can be defined as XY origin.In turn, the first visual angle figure As information V1_t1 may include the coordinate information of each pixel in the first multi-view image I1_t1, the second multi-view image information V2_t1 may include the coordinate information of each pixel in the second multi-view image I2_t1.
In one embodiment, it since image transmission is substantially transmitted by way of image compression, is passed with improving Defeated speed.Receiving module 11 can be realized by decompressor unzips it operation for the double-visual angle image 200 of input, with Obtain the first timing image information group corresponding to the first timing in the double-visual angle image 200 of original, uncompressed.
Please refer to Fig. 3 A and Fig. 3 B, first establishes module 12 with the first pixel in the first multi-view image I1_t1 Point establishes one first diamond-shaped area RA1 (as shown in Figure 3) centered on P1.In the present embodiment, the coordinate of the first pixel P1 To be illustrated for (400,200).The resolution ratio of first multi-view image I1_t1 and the second multi-view image I2_t1 with It is illustrated for 1024*768.
In one embodiment, two cornerwise equal lengths of the first diamond-shaped area RA1, and cornerwise length is excellent It is selected as 100 pixel length.That is the first diamond-shaped area RA1 includes 5000 pixels ([100*100]/2=5000).
First computing module 13 is used to calculate the pixel value summation of the pixel in the first diamond-shaped area RA1.Due to first Diamond-shaped area RA1 includes 5000 pixels, i.e. the first computing module 13 is preferred for calculating the pixel value of 5000 pixels Summation.Specifically, the first computing module 13 can be can be obtained by adding the pixel value of 5000 pixels to carry out add operation Pixel value summation.
Second establishes module 14 establishes in the second multi-view image I2_t1 according to predetermined depth stratum and the first pixel P1 One pixel region, the pixel region include multiple second pixel P2, and the point centered on every one second pixel P2 Establish one second diamond-shaped area RA2 (as shown in Figure 3).
For example, predetermined depth stratum is 256 stratum (can be set according to actual needs), the first pixel P1 It is equally (400,200) to the coordinate for shining the second multi-view image I2_t1, second, which establishes the pixel region that module 14 is established, includes The range of pixel coordinate point be [400-256/2,200]~[400+256/2,200].That is, multiple second pixel P2 (256 A second pixel) coordinate be respectively (272,200), (273,200), (274,200) ... (527,200), (528,200). Second establishes module 14, and point establishes 256 the second diamond-shaped area RA2 centered on 256 the second pixel P2 respectively again.Wherein, The size and shape of first diamond-shaped area RA1 and the second diamond-shaped area RA2 is all the same.Every one second diamond-shaped area RA2 is equally wrapped Include 5000 pixels.
Second computing module 15 is used to calculate the pixel value summation of the pixel in every one second diamond-shaped area RA2, meter Calculation mode is identical as the first computing module 13.Second computing module 15 can obtain 256 groups of pixel value summations after the completion of calculating.
Depth calculation module 16 be used for by the pixel value summation in the first diamond-shaped area RA1 respectively with every one second rhomboid Pixel value summation in the RA2 of domain is compared, to calculate the first timing image depth information.Specifically, depth calculation module 16 Pixel value summation in first diamond-shaped area RA1 is compared with the pixel value summation in 256 group of second diamond-shaped area RA2 respectively Compared with therefrom finding out and pixel value summation gap the smallest second the diamond-shaped area RA2, Jin Erke in the first diamond-shaped area RA1 The first timing image depth information is calculated according to lookup result.
For example, depth calculation module 16 through comparison obtain in the second multi-view image I2_t1 pixel (315, 200) the pixel value summation and the pixel value summation in the first diamond-shaped area RA1 of corresponding second diamond-shaped area RA2 are closest, then The depth information of first pixel P1 (400,200) is 315-272=43, and unit is the distance between pixel, i.e., when first The depth information of first pixel P1 (400,200) of sequence image is equal to 43 pixel length.
It should be noted that of the invention first establishes module 12 further with remaining in the first multi-view image I1_t1 Point is centered on pixel to establish a diamond-shaped area, and then the first timing image can be calculated according to the module of foregoing description Rest of pixels point depth information, and can summarize and obtain the first timing image depth information.
In one embodiment, in order to further enhance arithmetic speed, the first computing module 13 and the second computing module 15 Pixel separately in the first diamond-shaped area RA1, the second diamond-shaped area RA2 can be calculated separately using dot interlace value mode Pixel value summation.For example, pixel number is 1,2,3,4,5,6 ..., when operation, only acquires 1,3,5 ... (or 2,4,6 ...) Pixel does aggregation operation, so that only need to calculate the pixel value summation of 2500 pixels in 5000 pixels, The pixel number for reducing aggregation, improves calculating speed, and the accuracy rate that influence depth information does not calculate.
Please refer to Fig. 4, in one embodiment, it is that depth calculation device 100 also wraps with the difference place of Fig. 2 It includes motion-vector and obtains module 17.Receiving module 11 is also used to receive the second timing image information group in double-visual angle image 200, Motion-vector obtains module 17 for finding out the second timing image information group relative to the first timing image information group Motion-vector information, depth calculation module 16 is also used to according to the motion-vector information and the first timing picture depth Information calculates the second timing image depth information.
In one embodiment, it may include mean filter that motion-vector, which obtains module 17, realizes and believes motion-vector Breath carries out image processing operation.Due to being mutually adjacent timing point, the double-visual angle image 200 of input when the first timing and second With the depth distribution figure of linear change characteristic in the first timing, the second timing, depth calculation module 16 can be according to the One timing image depth information and motion-vector information estimate to obtain the second timing image depth information.The present invention passes through same Mode can also obtain input double-visual angle image 200 other timing corresponding to image depth information, details are not described herein.
Fig. 5 is the flow chart of depth computing method in an embodiment of the present invention.This method can be used in Fig. 2 or Fig. 4 Shown in depth calculation device 100.
Step S500, receiving module 11 receives the first timing image information group in the double-visual angle image 200 of input, described First timing image information group includes the first multi-view image information V1_t1 and the second multi-view image information V2_t1.
Step S502, first, which establishes the point centered on the first pixel P1 in the first multi-view image I1_t1 of module 12, builds Vertical one first diamond-shaped area RA1.
Step S504, the first computing module 13 calculate the pixel value summation of the pixel in the first diamond-shaped area RA1.
Step S506, second establishes module 14 according to predetermined depth stratum and the first pixel P1 in the second multi-view image A pixel region is established in I2_t1, the pixel region includes multiple second pixel P2, and second establishes module 14 also with described It is put centered on every one second pixel P2 and establishes one second diamond-shaped area RA2 respectively, wherein the second diamond-shaped area RA2 and the first water chestnut The size and shape of shape region RA1 is all the same.
Step S508, the pixel value that the second computing module 15 calculates the pixel in every one second diamond-shaped area RA2 are total.
Step S510, depth calculation module 16 is by the pixel value summation in the first diamond-shaped area RA1 respectively with every one second Pixel value summation in diamond-shaped area RA2 is compared, to calculate the first timing image depth information.
In one embodiment, the first computing module 13 and the second computing module 15 can be divided using dot interlace value mode The pixel value summation of the pixel in the first diamond-shaped area RA1, the second diamond-shaped area RA2 separately is not calculated.
In one embodiment, the size and shape of the first diamond-shaped area RA1 and the second diamond-shaped area RA2 are all the same.It is false If predetermined depth stratum is 256 stratum, second establishes module 14, and point establishes 256 centered on 256 the second pixel P2 respectively A second diamond-shaped area RA2.Depth calculation module 16 by the pixel value summation in the first diamond-shaped area RA1 respectively with 256 group Pixel value summation in two diamond-shaped area RA2 is compared, and is therefrom found out and the pixel value summation in the first diamond-shaped area RA1 The smallest second diamond-shaped area RA2 of gap, and then the first timing image depth information can be calculated according to lookup result.
Please refer to Fig. 6, in one embodiment, the depth computing method further includes step S512 and step S514.In step S500, receiving module 11 also receives the second timing image information group in the double-visual angle image 200 of input. Step S512, motion-vector acquisition module 17 are found out the second timing image information group and are believed relative to the first timing image The motion-vector information of breath group.Step S514, depth calculation module 16 also according to the motion-vector information and it is described first when Sequence image depth information calculates the second timing image depth information.
It should be noted that step S512 can be executed after step S510, can also be executed after step S500.
Above-mentioned depth computing method and its device, computational complexity is low, and calculating speed is fast and has good depth calculation Accuracy rate.
It will be apparent to those skilled in the art that the reality of production can be combined with scheme of the invention according to the present invention and inventive concept Border needs to make other and is altered or modified accordingly, and these change and adjustment all should belong to range disclosed in this invention.

Claims (10)

1. a kind of depth computing method, which is characterized in that the depth computing method includes:
The first timing image information group in double-visual angle image is received, the first timing image information group includes the first visual angle figure As information and the second multi-view image information;
Point establishes one first diamond-shaped area centered on the first pixel in first multi-view image;
Calculate the pixel value summation of the pixel in first diamond-shaped area;
A pixel region, the picture are established in second multi-view image according to predetermined depth stratum and first pixel Plain region includes multiple second pixels, and is put centered on every one second pixel and establish one second rhomboid respectively Domain;
Calculate the pixel value summation of the pixel in every one second diamond-shaped area;And
By the pixel value summation in first diamond-shaped area respectively with the pixel value summation in every one second diamond-shaped area It is compared, to calculate the first timing image depth information;
Wherein, the size and shape of first diamond-shaped area and second diamond-shaped area are all the same.
2. depth computing method as described in claim 1, which is characterized in that the depth computing method further include:
The second timing image information group in double-visual angle image is received, and finds out the second timing image information group relative to institute State the motion-vector information of the first timing image information group;And
The second timing image depth information is calculated according to the motion-vector information and the first timing image depth information.
3. depth computing method as described in claim 1, which is characterized in that the picture calculated in first diamond-shaped area The step of pixel value summation of vegetarian refreshments includes:
The pixel value summation of the pixel in first diamond-shaped area separately is calculated using dot interlace value mode.
4. depth computing method as claimed in claim 3, which is characterized in that described to calculate in every one second diamond-shaped area Pixel pixel value summation the step of include:
The pixel value summation of the pixel in every one second diamond-shaped area separately is calculated using dot interlace value mode.
5. depth computing method as described in claim 1, which is characterized in that the pixel by first diamond-shaped area Value summation is compared with the pixel value summation in every one second diamond-shaped area respectively, to calculate the first timing image The step of depth information includes:
By the pixel value summation in first diamond-shaped area respectively with the pixel value summation in every one second diamond-shaped area Be compared, with search with immediate second diamond-shaped area of pixel value summation in first diamond-shaped area, and according to looking into Result is looked for calculate the first timing image depth information.
6. a kind of depth calculation device, for carrying out depth calculation to double-visual angle image, which is characterized in that the depth calculation dress It sets and includes:
Memory;
At least one processor;And
One or more modules, one or more of modules store in the memory, and by least one described processing Device executes, which is characterized in that one or more of modules include:
Receiving module, for receiving the first timing image information group in the double-visual angle image, the first timing image letter Breath group includes the first multi-view image information and the second multi-view image information;
First establishes module, establishes one first rhomboid for putting centered on the first pixel in first multi-view image Domain;
First computing module, for calculating the pixel value summation of the pixel in first diamond-shaped area;
Second establishes module, for being established in second multi-view image according to predetermined depth stratum and first pixel One pixel region, the pixel region include multiple second pixels, and difference is put centered on every one second pixel Establish one second diamond-shaped area;
Second computing module, for calculating the pixel value summation of the pixel in every one second diamond-shaped area;And
Depth calculation module, for by the pixel value summation in first diamond-shaped area respectively with every one second rhomboid Pixel value summation in domain is compared, to calculate the first timing image depth information;
Wherein, the size and shape of first diamond-shaped area and second diamond-shaped area are all the same.
7. depth calculation device as claimed in claim 6, which is characterized in that the depth calculation device further includes motion-vector Module is obtained, the receiving module is also used to receive the second timing image information group in the double-visual angle image, the movement Vector obtains module for finding out movement of the second timing image information group relative to the first timing image information group Vector information, the depth calculation module are also used to according to the motion-vector information and the first timing image depth information To calculate the second timing image depth information.
8. depth calculation device as claimed in claim 6, which is characterized in that first computing module using dot interlace for being taken Value mode calculates the pixel value summation of the pixel in first diamond-shaped area separately.
9. depth calculation device as claimed in claim 8, which is characterized in that second computing module using dot interlace for being taken Value mode calculates the pixel value summation of the pixel in every one second diamond-shaped area separately.
10. depth calculation device as claimed in claim 6, which is characterized in that the depth calculation module is used for described the Pixel value summation in one diamond-shaped area is compared with the pixel value summation in every one second diamond-shaped area respectively, to look into Look for immediate second diamond-shaped area of pixel value summation in first diamond-shaped area, and described in being calculated according to lookup result First timing image depth information.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102694998A (en) * 2011-03-24 2012-09-26 三星电子株式会社 Depth sensors, depth information error compensation methods thereof, and signal processing systems having the depth sensors
CN102760234A (en) * 2011-04-14 2012-10-31 财团法人工业技术研究院 Depth image acquisition device, system and method
WO2013023325A1 (en) * 2011-08-18 2013-02-21 北京世纪高蓝科技有限公司 Method for converting 2d into 3d based on image motion information
CN103237214A (en) * 2013-04-12 2013-08-07 华为技术有限公司 Method and device for coding and decoding depth images
CN104821008A (en) * 2014-02-03 2015-08-05 汤姆逊许可公司 Method and device for processing a geometry image of a 3d scene

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102694998A (en) * 2011-03-24 2012-09-26 三星电子株式会社 Depth sensors, depth information error compensation methods thereof, and signal processing systems having the depth sensors
CN102760234A (en) * 2011-04-14 2012-10-31 财团法人工业技术研究院 Depth image acquisition device, system and method
WO2013023325A1 (en) * 2011-08-18 2013-02-21 北京世纪高蓝科技有限公司 Method for converting 2d into 3d based on image motion information
CN103237214A (en) * 2013-04-12 2013-08-07 华为技术有限公司 Method and device for coding and decoding depth images
CN104821008A (en) * 2014-02-03 2015-08-05 汤姆逊许可公司 Method and device for processing a geometry image of a 3d scene

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