GB2585197B - Method and system for obtaining depth data - Google Patents

Method and system for obtaining depth data Download PDF

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Publication number
GB2585197B
GB2585197B GB1909444.0A GB201909444A GB2585197B GB 2585197 B GB2585197 B GB 2585197B GB 201909444 A GB201909444 A GB 201909444A GB 2585197 B GB2585197 B GB 2585197B
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United Kingdom
Prior art keywords
depth data
obtaining depth
obtaining
data
depth
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.)
Active
Application number
GB1909444.0A
Other versions
GB2585197A (en
GB201909444D0 (en
Inventor
Gupta Rajeev
Cappello Fabio
Erwan Damien Uberti David
John Williams Nigel
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.)
Sony Interactive Entertainment Inc
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Sony Interactive Entertainment Inc
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.)
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Publication date
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Priority to GB1909444.0A priority Critical patent/GB2585197B/en
Publication of GB201909444D0 publication Critical patent/GB201909444D0/en
Publication of GB2585197A publication Critical patent/GB2585197A/en
Application granted granted Critical
Publication of GB2585197B publication Critical patent/GB2585197B/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
    • H04N13/106—Processing image signals
    • H04N13/15—Processing image signals for colour aspects of image signals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/593—Depth or shape recovery from multiple images from stereo images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/579—Depth or shape recovery from multiple images from motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
    • G06T7/85—Stereo camera calibration
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20—Image signal generators
    • H04N13/257—Colour aspects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20—Image signal generators
    • H04N13/271—Image signal generators wherein the generated image signals comprise depth maps or disparity maps
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20076—Probabilistic image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30204—Marker
    • G06T2207/30208—Marker matrix
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N2013/0074—Stereoscopic image analysis
    • H04N2013/0077—Colour aspects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N2013/0074—Stereoscopic image analysis
    • H04N2013/0081—Depth or disparity estimation from stereoscopic image signals

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Image Analysis (AREA)
GB1909444.0A 2019-07-01 2019-07-01 Method and system for obtaining depth data Active GB2585197B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB1909444.0A GB2585197B (en) 2019-07-01 2019-07-01 Method and system for obtaining depth data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1909444.0A GB2585197B (en) 2019-07-01 2019-07-01 Method and system for obtaining depth data

Publications (3)

Publication Number Publication Date
GB201909444D0 GB201909444D0 (en) 2019-08-14
GB2585197A GB2585197A (en) 2021-01-06
GB2585197B true GB2585197B (en) 2023-12-20

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
GB1909444.0A Active GB2585197B (en) 2019-07-01 2019-07-01 Method and system for obtaining depth data

Country Status (1)

Country Link
GB (1) GB2585197B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210141926A1 (en) * 2019-11-13 2021-05-13 Facebook, Inc. Enabling the Sharing of Privacy-safe Data with Deep Poisoning Functions
CN115375884B (en) * 2022-08-03 2023-05-30 北京微视威信息科技有限公司 Free viewpoint synthesis model generation method, image drawing method and electronic device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104574391A (en) * 2014-12-29 2015-04-29 西安交通大学 Stereoscopic vision matching method based on adaptive feature window
CN106600583A (en) * 2016-12-07 2017-04-26 西安电子科技大学 Disparity map acquiring method based on end-to-end neural network
CN109584290A (en) * 2018-12-03 2019-04-05 北京航空航天大学 A kind of three-dimensional image matching method based on convolutional neural networks

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104574391A (en) * 2014-12-29 2015-04-29 西安交通大学 Stereoscopic vision matching method based on adaptive feature window
CN106600583A (en) * 2016-12-07 2017-04-26 西安电子科技大学 Disparity map acquiring method based on end-to-end neural network
CN109584290A (en) * 2018-12-03 2019-04-05 北京航空航天大学 A kind of three-dimensional image matching method based on convolutional neural networks

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Jure Zbontar, Yann LeCun, Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches, Journal of Machine Learning Research, 2016, 17(65), 1-32 *
Nikolaue Mayer et al, A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation, 2016, IEEE Conference on Computer Vision and Pattern Recognition, pages 4040-4048 *

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Publication number Publication date
GB2585197A (en) 2021-01-06
GB201909444D0 (en) 2019-08-14

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