CN107147894A - A kind of virtual visual point image generating method in Auto-stereo display - Google Patents

A kind of virtual visual point image generating method in Auto-stereo display Download PDF

Info

Publication number
CN107147894A
CN107147894A CN201710226879.5A CN201710226879A CN107147894A CN 107147894 A CN107147894 A CN 107147894A CN 201710226879 A CN201710226879 A CN 201710226879A CN 107147894 A CN107147894 A CN 107147894A
Authority
CN
China
Prior art keywords
image
visual point
virtual
virtual visual
point image
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.)
Granted
Application number
CN201710226879.5A
Other languages
Chinese (zh)
Other versions
CN107147894B (en
Inventor
王琼华
肖飞
熊召龙
邢妍
邓欢
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan University
Original Assignee
Sichuan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Sichuan University filed Critical Sichuan University
Priority to CN201710226879.5A priority Critical patent/CN107147894B/en
Publication of CN107147894A publication Critical patent/CN107147894A/en
Application granted granted Critical
Publication of CN107147894B publication Critical patent/CN107147894B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/40Filling a planar surface by adding surface attributes, e.g. colour or texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

The present invention proposes the virtual visual point image generating method in a kind of Auto-stereo display.This method includes virtual visual point image generation and free stereo image synthesizes two processes.According to multi-view free stereoscopic displayer display parameters, determine the position relationship between multiple views anaglyph, camera parameter is adjusted, the virtual visual point image of ad-hoc location is obtained, free stereo image is synthesized using reference view image and virtual visual point image and is shown on auto-stereoscopic display.The present invention consider virtual view synthesis between prospect and background block with the discontinuous problem of boundary depth value, improve the quality of the virtual visual point image of generation.

Description

A kind of virtual visual point image generating method in Auto-stereo display
Technical field
The present invention relates to free 3 D display technology, the virtual visual point image in more particularly to a kind of Auto-stereo display is given birth to Into method.
Background technology
Free 3 D display technology is related to multiple views anaglyph and obtained and free stereo image synthetic technology.Multiple views are regarded Difference image can be obtained by synchronous camera or 3D modeling software, and free stereo image is pressed by the multiple views anaglyph obtained Certain method is synthesized.In the acquisition methods of multiple views anaglyph, relatively held high using the price of multiple synchronous cameras It is expensive, it is very high using the time cost of modeling software.Virtual visual point synthesizing method can using two reference view texture images and its Corresponding depth image generates virtual visual point image by way of three-dimensional mapping, by the adjustment of camera parameter, can obtain The virtual visual point image of optional position between two reference views.Then closed using two reference view texture images and virtual visual point image Into free stereo image.But traditional virtual visual point synthesizing method is present that depth image edge depth value is discontinuous, the prospect back of the body The problems such as being blocked between scape, the quality to virtual visual point image has a great impact.
The content of the invention
It is contemplated that realizing high-quality Auto-stereo display.In order to reach the purpose, the present invention proposes a kind of free Virtual visual point image generating method in stereoscopic display.This method includes virtual visual point image generation and free stereo image synthesis Two processes, idiographic flow is as shown in Figure 1.In virtual visual point image generation, first to reference view depth image forward Mapping generation virtual depth image, the method then filled using background is filled out to the cavity in the virtual depth image of generation Fill, finally according to the virtual depth image mapping generation virtual visual point image of filling.During this, depth image after mapping is entered The method of row background filling has been obviously improved the quality of virtual visual point image.In free stereo image building-up process, root first According to the display parameters of Auto-stereo display, the position relationship between viewpoint number and multiple views anaglyph is determined, so that it is determined that The position of the virtual visual point image of generation is needed, camera parameter generation virtual visual point image, multiple views anaglyph is then adjusted It is made up of the virtual visual point image of reference view image and ad-hoc location, finally utilizes multiple views anaglyph synthesis free stereo Image.During this, simply and rapidly multiple views anaglyph can be generated using virtual view composition algorithm.
The virtual visual point image generating process, the geological information of scene is expressed using depth information and camera parameter, Virtual visual point image for intending generation, as shown in Figure 2, first will by three-dimension varying equation using above geological information The pixel projection of reference picture is in the image coordinate system of target view, so as to generate the image of target view.Reference picture Each pixel is from two dimensional surface back projection to three dimensions:
(1)
(2)
(x, y, z )TRepresent three dimensions point, then the point of three dimensions by re-projection to target view plane, (u,v, 1)TIt is the homogeneous coordinates of pixel in reference picture,K r, R rWitht rRepresent respectively the internal matrix of reference picture, spin matrix, Translation matrix,K v,R vWitht vInternal matrix, spin matrix, the translation matrix of virtual visual point image are represented respectively,dRepresent (u,v) place's depth value, coordinate (l, m, n) represent virtual view in rounded coordinate.
Yet with there are problems that edge depth value is discontinuous in depth image, between prospect background, mapping life Into virtual depth image in exist cavity.The method filled using background is carried out to the cavity in the virtual depth image of generation The depth value for belonging to prospect in filling, depth image is more than the depth value of background,d (i, j) expression pixel (i, j) place Depth value, represents that this pixel is sky pixel when it is 0, utilizes empty pixel near zone ΩγIn non-zero minimum depth valued (m, n) rightd(i, j) be filled:
(3)
Whereind(m, n) represent region Ω in pixel (m, n) place depth value,γRepresent in the Ω of region pixel and empty pixel it Between distance,γ=1,2 ..., 9, the subjective evaluation quality for the virtual visual point image that its value passes through generation is sieved Choosing.Corresponding virtual visual point image, final virtual visual point image are then generated according to the depth image mapping after fillingI v(u,v) by the virtual visual point image after the mapping of left and right reference viewI l(u l , v l)、I r(u r, v r) synthesis:
(4)
(5)
WhereinαRepresent weighted factor,t lt rThe translation matrix of left and right reference view external parameter is represented respectively.
The free stereo image building-up process, by taking 3 tunnel anaglyphs as an example, such as accompanying drawing 3, the small rectangle of proper alignment is 1,2,3 in 1 sub-pixel on display screen, 3 sub-pixels 1 pixels of composition, Fig. 3 represent 3 tunnel anaglyphs respectively.If light Grid cycle isp, grating slope angle isθ, 2D display screen sub-pixel widths areW p, the viewpoint number used forK, this 4 parameters It need to appropriately match, meet following relation:
(6)
In formula,ceil() represents to round up.Determine viewpoint numberKAnd angle of inclinationθAfterwards, so that it may willKWidth anaglyph synthesis one Width free stereo image.KThe conjunction primitive reason of road anaglyph is identical with principle as shown in Figure 3, according to auto-stereoscopic display Display parameters, the position relationship between multiple views anaglyph is determined, so that it is determined that needing the virtual visual point image generated Position, then adjusts camera parameter generation virtual visual point image.Camera parameterA nR nt nRespectively cameraC n Internal matrix, Spin matrix, translation matrix, whereinnRepresent camera label.Two reference view cameras areC 0C 1, corresponding rotation matrix is respectivelyR 0R 1;Corresponding to translation matrix is respectivelyt 0t 1;Internal matrix isA 0A 1.Two reference view centre positionsC', its translation matrixt (c') bet 0Witht 1Average value, its internal matrixA(c') withA 0WithA 1Keep identical, its spin matrix isR(c') by following public affairs Formula is tried to achieve:
(7)
(8)
WhereinRFor the spin matrix factor of introducing, the camera in any two viewpoints centre position can be calculated by formula (7), (8) Rotation parameter, it is possible thereby to which iteration goes out the camera rotation parameter of optional positionR n, andA nKeep constant,t nFor two reference views Average, so as to generate multiple views anaglyph using virtual view composition algorithm.
4th, illustrate
Accompanying drawing 1 be a kind of Auto-stereo display in virtual visual point image generating method flow chart
Accompanying drawing 2 is the geometrical relationship schematic diagram between reference view and target view
Accompanying drawing 3 is free stereo image composition principle schematic diagram
Accompanying drawing 4 is unfilled virtual depth image mapping generation virtual visual point image
Accompanying drawing 5 is the virtual depth image mapping generation virtual visual point image after filling
Shown by reference numeral in above-mentioned accompanying drawing is:
1 reference view plane coordinate system, 2 three dimensions, 3 target view plane coordinate systems, 4 Lenticular screens, 5 composographs Pixel.
It should be appreciated that above-mentioned accompanying drawing is schematical, it is not drawn to draw.
5th, embodiment
Implement the following detailed description of a typical case of the virtual visual point image generating method in a kind of Auto-stereo display of the invention Example, the present invention is further described specifically.It is necessarily pointed out that, following examples be served only for the present invention do into The explanation of one step, it is impossible to be interpreted as limiting the scope of the invention, skilled person is according to the invention described above for the art Content makes some nonessential modifications and adaptations to the present invention, still falls within protection scope of the present invention.
It is contemplated that realizing high-quality Auto-stereo display.In order to reach the purpose, the present invention proposes a kind of free Virtual visual point image generating method in stereoscopic display.This method includes virtual visual point image generation and free stereo image synthesis Two processes, idiographic flow is as shown in Figure 1.In virtual visual point image generation, first to reference view depth image forward Mapping generation virtual depth image, the method then filled using background is filled out to the cavity in the virtual depth image of generation Fill, finally according to the virtual depth image mapping generation virtual visual point image of filling.During this, depth image after mapping is entered The method of row background filling has been obviously improved the quality of virtual visual point image.In free stereo image building-up process, root first According to the display parameters of Auto-stereo display, the position relationship between viewpoint number and multiple views anaglyph is determined, so that it is determined that The position of the virtual visual point image of generation is needed, camera parameter generation virtual visual point image, multiple views anaglyph is then adjusted It is made up of the virtual visual point image of reference view image and ad-hoc location, finally utilizes multiple views anaglyph synthesis free stereo Image.During this, simply and rapidly multiple views anaglyph can be generated using virtual view composition algorithm.
The virtual visual point image generating process, the geological information of scene is expressed using depth information and camera parameter, Virtual visual point image for intending generation, as shown in Figure 2, first will by three-dimension varying equation using above geological information The pixel projection of reference picture is in the image coordinate system of target view, so as to generate the image of target view.Reference picture Each pixel is from two dimensional surface back projection to three dimensions:
(1)
(2)
(x, y, z )TRepresent three dimensions point, then the point of three dimensions by re-projection to target view plane, (u,v, 1)TIt is the homogeneous coordinates of pixel in reference picture,K r, R rWitht rRepresent respectively the internal matrix of reference picture, spin matrix, Translation matrix,K v,R vWitht vInternal matrix, spin matrix, the translation matrix of virtual visual point image are represented respectively,dRepresent (u,v) place's depth value, coordinate (l, m, n) represent virtual view in rounded coordinate.
Yet with there are problems that edge depth value is discontinuous in depth image, between prospect background, mapping life Into virtual depth image in exist cavity.The method filled using background is carried out to the cavity in the virtual depth image of generation The depth value for belonging to prospect in filling, depth image is more than the depth value of background,d (i, j) expression pixel (i, j) place Depth value, represents that this pixel is sky pixel when it is 0, utilizes empty pixel near zone ΩγIn non-zero minimum depth valued (m, n) rightd(i, j) be filled:
(3)
Whereind(m, n) represent region Ω in pixel (m, n) place depth value,γRepresent in the Ω of region pixel and empty pixel it Between distance,γ=1,2 ..., 9, the subjective evaluation quality for the virtual visual point image that its value passes through generation is sieved Choosing.Corresponding virtual visual point image, final virtual visual point image are then generated according to the depth image mapping after fillingI v(u,v) by the virtual visual point image after the mapping of left and right reference viewI l(u l , v l)、I r(u r, v r) synthesis:
(4)
(5)
WhereinαRepresent weighted factor,t lt rThe translation matrix of left and right reference view external parameter is represented respectively.
The free stereo image building-up process, by taking 3 tunnel anaglyphs as an example, such as accompanying drawing 3, the small rectangle of proper alignment is 1,2,3 in 1 sub-pixel on display screen, 3 sub-pixels 1 pixels of composition, Fig. 3 represent 3 tunnel anaglyphs respectively.If light Grid cycle isp, grating slope angle isθ, 2D display screen sub-pixel widths areW p, the viewpoint number used forK, this 4 parameters It need to appropriately match, meet following relation:
(6)
In formula,ceil() represents to round up.Determine viewpoint numberKAnd angle of inclinationθAfterwards, so that it may willKWidth anaglyph synthesis one Width free stereo image.KThe conjunction primitive reason of road anaglyph is identical with principle as shown in Figure 3, for standing for 28 cun of 9 road parallax 9 subpixel periods are covered under body display, its screen periods, are provided in two reference views with Microsoft Research, Asia Exemplified by viewpoint 3 and 5 in " breakdancers ", camera parameter is adjusted, grey iterative generation 7 is virtually regarded successively in the middle of two viewpoints Dot image, two width reference view images and seven width virtual visual point images constitute nine tunnel anaglyphs.Camera parameterA nR nt nRespectively For cameraC nInternal matrix, spin matrix, translation matrix, whereinnRepresent camera label.Two reference view cameras areC 0C 1, The corresponding spin matrix of corresponding spin matrixR 0R 1;Corresponding translation matrixt 0t 1;Internal matrixA 0A 1.Two reference views Centre positionC', its translation matrixt(c') bet 0Witht 1Average value, its internal matrixA(c') withA 0WithA 1Keep identical, its Spin matrix isR(c') tried to achieve by below equation:
(7)
(8)
WhereinRFor the spin matrix factor of introducing, the camera in any two viewpoints centre position can be calculated by formula (7), (8) Rotation parameter, it is possible thereby to which iteration goes out the camera rotation parameter of optional positionR n, andA nKeep constant,t nFor two reference views Average, so as to generate multiple views anaglyph using virtual view composition algorithm.
The present invention synthesizes two processes by virtual visual point image generation and free stereo image, vertical according to multi-view auto Body display display parameters, determine the position relationship between multiple views anaglyph, adjust camera parameter, obtain ad-hoc location Virtual visual point image, free stereo image is synthesized and in auto-stereoscopic display using reference view image and virtual visual point image It is shown above.The present invention considers in virtual view synthesis blocking and boundary depth value is discontinuous asks between prospect background Topic, improves the quality of the virtual visual point image of generation.

Claims (3)

1. the virtual visual point image generating method in a kind of Auto-stereo display, it is characterised in that this method utilizes virtual view Synthetic technology, according to multi-view free stereoscopic displayer display parameters, adjusts camera parameter, obtains the virtual view of ad-hoc location Image, is filled up, this method includes virtually regarding in virtual view synthesis to the hole region progress background in virtual depth image Dot image is generated and free stereo image synthesizes two processes;Virtual visual point image generation in, reference view depth image to Before be mapped to virtual depth image, the method filled using background is filled to the cavity in the virtual depth image of generation; In free stereo image building-up process, first according to the display parameters of Auto-stereo display, it is determined that needing what is generated virtually to regard The position of dot image, then adjusts camera parameter generation virtual visual point image, multiple views anaglyph by reference view image and The virtual visual point image composition of ad-hoc location, finally utilizes multiple views anaglyph synthesis free stereo image.
2. the virtual visual point image generating method in a kind of Auto-stereo display according to claim 1, it is characterised in that In the virtual visual point image generating process, the method filled using background is to the cavity in the virtual depth image of mapping generation It is filled, the depth value that prospect is belonged in depth image is more than the depth value for belonging to background,d (i, j) expression pixel (i,j) place depth value, represent that this pixel is sky pixel when it is 0, utilize empty pixel near zone ΩγIn non-zero minimum it is deep Angle valued(m, n) rightd(i, j) be filled, whereinγRepresent in empty pixel near zone Ω between pixel and empty pixel away from From,γ=1,2 ..., 9,d(m, n) represent region Ω in pixel (m, n) place depth value, pass through the virtual of generation and regard Evaluation quality pair on dot image is subjective and objectiveγValue screened.
3. the virtual visual point image generating method in a kind of Auto-stereo display according to claim 1, it is characterised in that In the free stereo image building-up process, according to the display parameters of Auto-stereo display, it is determined that needing the virtual view generated The position of image, adjusts the internal matrix of cameraA n, spin matrixR n, translation matrixt n, the grey iterative generation successively in the middle of two viewpoints Virtual visual point image, two width reference view images and virtual visual point image constitute multichannel anaglyph, utilize multichannel anaglyph Synthesize free stereo image.
CN201710226879.5A 2017-04-10 2017-04-10 A kind of virtual visual point image generating method in Auto-stereo display Active CN107147894B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710226879.5A CN107147894B (en) 2017-04-10 2017-04-10 A kind of virtual visual point image generating method in Auto-stereo display

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710226879.5A CN107147894B (en) 2017-04-10 2017-04-10 A kind of virtual visual point image generating method in Auto-stereo display

Publications (2)

Publication Number Publication Date
CN107147894A true CN107147894A (en) 2017-09-08
CN107147894B CN107147894B (en) 2019-07-30

Family

ID=59775292

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710226879.5A Active CN107147894B (en) 2017-04-10 2017-04-10 A kind of virtual visual point image generating method in Auto-stereo display

Country Status (1)

Country Link
CN (1) CN107147894B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108769662A (en) * 2018-07-03 2018-11-06 京东方科技集团股份有限公司 A kind of multiple views bore hole 3D rendering hole-filling method, apparatus and electronic equipment
CN108810511A (en) * 2018-06-21 2018-11-13 华中科技大学 A kind of multiple views compression depth video enhancement method based on viewpoint consistency
CN109961406A (en) * 2017-12-25 2019-07-02 深圳市优必选科技有限公司 A kind of method, apparatus and terminal device of image procossing
WO2019170156A1 (en) * 2018-03-08 2019-09-12 Mediatek Inc. Adaptive loop filtering method for reconstructed projection-based frame that employs projection layout of 360-degree virtual reality projection
CN110246146A (en) * 2019-04-29 2019-09-17 北京邮电大学 Full parallax light field content generating method and device based on multiple deep image rendering

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102325259A (en) * 2011-09-09 2012-01-18 青岛海信数字多媒体技术国家重点实验室有限公司 Method and device for synthesizing virtual viewpoints in multi-viewpoint video
CN102568026A (en) * 2011-12-12 2012-07-11 浙江大学 Three-dimensional enhancing realizing method for multi-viewpoint free stereo display
CN102714748A (en) * 2010-03-12 2012-10-03 石保罗 Stereoscopic image generation method and a device therefor
CN102831602A (en) * 2012-07-26 2012-12-19 清华大学 Image rendering method and image rendering device based on depth image forward mapping
CN104851129A (en) * 2015-05-21 2015-08-19 成都绿野起点科技有限公司 Multi-view-based 3D reconstruction method
CN105163104A (en) * 2015-08-31 2015-12-16 四川虹微技术有限公司 Intermediate view synthesis method without generating cavity

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102714748A (en) * 2010-03-12 2012-10-03 石保罗 Stereoscopic image generation method and a device therefor
CN102325259A (en) * 2011-09-09 2012-01-18 青岛海信数字多媒体技术国家重点实验室有限公司 Method and device for synthesizing virtual viewpoints in multi-viewpoint video
CN102568026A (en) * 2011-12-12 2012-07-11 浙江大学 Three-dimensional enhancing realizing method for multi-viewpoint free stereo display
CN102831602A (en) * 2012-07-26 2012-12-19 清华大学 Image rendering method and image rendering device based on depth image forward mapping
CN104851129A (en) * 2015-05-21 2015-08-19 成都绿野起点科技有限公司 Multi-view-based 3D reconstruction method
CN105163104A (en) * 2015-08-31 2015-12-16 四川虹微技术有限公司 Intermediate view synthesis method without generating cavity

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109961406A (en) * 2017-12-25 2019-07-02 深圳市优必选科技有限公司 A kind of method, apparatus and terminal device of image procossing
CN109961406B (en) * 2017-12-25 2021-06-25 深圳市优必选科技有限公司 Image processing method and device and terminal equipment
GB2584020A (en) * 2018-03-08 2020-11-18 Mediatek Inc Adaptive loop filtering method for reconstructed projection-based frame that employs projection layout of 360-Degree virtual reality projection
WO2019170156A1 (en) * 2018-03-08 2019-09-12 Mediatek Inc. Adaptive loop filtering method for reconstructed projection-based frame that employs projection layout of 360-degree virtual reality projection
GB2584020B (en) * 2018-03-08 2022-05-25 Mediatek Inc Adaptive loop filtering method for reconstructed projection-based frame that employs projection layout of 360-Degree virtual reality projection
TWI685244B (en) * 2018-03-08 2020-02-11 聯發科技股份有限公司 Adaptive loop filtering method for reconstructed projection-based frame
CN108810511A (en) * 2018-06-21 2018-11-13 华中科技大学 A kind of multiple views compression depth video enhancement method based on viewpoint consistency
CN108810511B (en) * 2018-06-21 2019-08-30 华中科技大学 A kind of multiple views compression depth video enhancement method based on viewpoint consistency
CN108769662B (en) * 2018-07-03 2020-01-07 京东方科技集团股份有限公司 Multi-view naked eye 3D image hole filling method and device and electronic equipment
US11043152B2 (en) 2018-07-03 2021-06-22 Boe Technology Group Co., Ltd. Method and apparatus for filling holes in naked-eye 3D multi-viewpoint image, and electronic device for performing the method
CN108769662A (en) * 2018-07-03 2018-11-06 京东方科技集团股份有限公司 A kind of multiple views bore hole 3D rendering hole-filling method, apparatus and electronic equipment
CN110246146B (en) * 2019-04-29 2021-07-30 北京邮电大学 Full-parallax light field content generation method and device based on multiple-time depth image rendering
CN110246146A (en) * 2019-04-29 2019-09-17 北京邮电大学 Full parallax light field content generating method and device based on multiple deep image rendering

Also Published As

Publication number Publication date
CN107147894B (en) 2019-07-30

Similar Documents

Publication Publication Date Title
CN107147894B (en) A kind of virtual visual point image generating method in Auto-stereo display
US10148930B2 (en) Multi view synthesis method and display devices with spatial and inter-view consistency
CN102325259A (en) Method and device for synthesizing virtual viewpoints in multi-viewpoint video
US9445072B2 (en) Synthesizing views based on image domain warping
US8400496B2 (en) Optimal depth mapping
US9251621B2 (en) Point reposition depth mapping
CN101771893B (en) Video frequency sequence background modeling based virtual viewpoint rendering method
Bertel et al. Megaparallax: Casual 360 panoramas with motion parallax
JP6517245B2 (en) Method and apparatus for generating a three-dimensional image
EP2323416A2 (en) Stereoscopic editing for video production, post-production and display adaptation
US20100085423A1 (en) Stereoscopic imaging
KR101825759B1 (en) Method for visualizing three-dimensional images on a 3d display device and 3d display device
US20060171028A1 (en) Device and method for display capable of stereoscopic vision
CN103974055A (en) 3D photo creation system and method
JP2009116532A (en) Method and apparatus for generating virtual viewpoint image
CN109791704B (en) Texture rendering method, system and device based on multi-layer UV mapping for free-running FVV application
US9196080B2 (en) Medial axis decomposition of 2D objects to synthesize binocular depth
CN102930593A (en) Real-time rendering method based on GPU (Graphics Processing Unit) in binocular system
CN104869386A (en) Virtual viewpoint synthesizing method based on layered processing
CA2540538C (en) Stereoscopic imaging
KR20170025214A (en) Method for Multi-view Depth Map Generation
CN106878692A (en) A kind of method for displaying three-dimensional object thereby that is blocked based on Fourier spectrum
CN114401391A (en) Virtual viewpoint generation method and device
CN110149508A (en) A kind of array of figure generation and complementing method based on one-dimensional integrated imaging system
CN105578170B (en) A kind of micro- pattern matrix directionality mapping method of integration imaging based on depth data

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
GR01 Patent grant
GR01 Patent grant