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WO2018196304A9 - Three-dimensional image reconstruction method and apparatus based on debruijn sequence - Google Patents

Three-dimensional image reconstruction method and apparatus based on debruijn sequence Download PDF

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Publication number
WO2018196304A9
WO2018196304A9 PCT/CN2017/107277 CN2017107277W WO2018196304A9 WO 2018196304 A9 WO2018196304 A9 WO 2018196304A9 CN 2017107277 W CN2017107277 W CN 2017107277W WO 2018196304 A9 WO2018196304 A9 WO 2018196304A9
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WO
WIPO (PCT)
Prior art keywords
coded
image
feature points
dimensional image
sequence
Prior art date
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Ceased
Application number
PCT/CN2017/107277
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French (fr)
Chinese (zh)
Other versions
WO2018196304A1 (en
Inventor
刘晓利
王若曦
彭翔
蔡泽伟
汤其剑
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.)
Shenzhen University
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Shenzhen 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 Shenzhen University filed Critical Shenzhen University
Publication of WO2018196304A1 publication Critical patent/WO2018196304A1/en
Publication of WO2018196304A9 publication Critical patent/WO2018196304A9/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

Disclosed are a three-dimensional image reconstruction method and apparatus based on a DeBruijn sequence. The method comprises: using a shift register to generate a four-element two-level DeBruijn sequence (101); carrying out binary conversion on the DeBruijn sequence to obtain binary sequences, and filling the binary sequences in a gray area in a pre-set template image in sequence to obtain a coded template image (102); carrying out image collection after the coded template image is projected onto a surface of an object to obtain a coded image including coded template image information and object information, and binarizing the coded image to obtain a first binarized image, wherein the first binarized image comprises a plurality of coded feature points, and each of the coded feature points comprises one central area (103); based on the first binarized image, determining position information about the central area of each of the coded feature points (104); and based on the first binarized image, and the position information about each central area, determining a coded value of each of the coded feature points, and using the coded value for three-dimensional image reconstruction (105). A higher anti-noise capacity and better robustness are achieved when the method is used for three-dimensional image reconstruction.
PCT/CN2017/107277 2017-04-28 2017-10-23 Three-dimensional image reconstruction method and apparatus based on debruijn sequence Ceased WO2018196304A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710293917.9 2017-04-28
CN201710293917.9A CN107240135B (en) 2017-04-28 2017-04-28 Three-dimensional image reconstruction method and device based on DeBruijn sequence

Publications (2)

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WO2018196304A1 WO2018196304A1 (en) 2018-11-01
WO2018196304A9 true WO2018196304A9 (en) 2018-12-27

Family

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Family Applications (1)

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PCT/CN2017/107277 Ceased WO2018196304A1 (en) 2017-04-28 2017-10-23 Three-dimensional image reconstruction method and apparatus based on debruijn sequence

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CN (1) CN107240135B (en)
WO (1) WO2018196304A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107240135B (en) * 2017-04-28 2020-07-10 深圳大学 Three-dimensional image reconstruction method and device based on DeBruijn sequence
CN110288673B (en) * 2019-05-08 2023-01-31 深圳大学 Method and system for mapping instruction sequences into images

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5838428A (en) * 1997-02-28 1998-11-17 United States Of America As Represented By The Secretary Of The Navy System and method for high resolution range imaging with split light source and pattern mask
BR9812246A (en) * 1997-09-18 2000-07-18 Nokia Mobile Phones Ltd Time diversity in tdma system
KR20020058608A (en) * 2000-12-30 2002-07-12 오길록 A Blending Method In Imposing Continuity Between B-Spline Curves/Surfaces
WO2008062407A2 (en) * 2006-11-21 2008-05-29 Mantisvision Ltd. 3d geometric modeling and 3d video content creation
US9030470B2 (en) * 2012-08-14 2015-05-12 Hong Kong Applied Science and Technology Research Institute Company Limited Method and system for rapid three-dimensional shape measurement
CN103400366B (en) * 2013-07-03 2016-04-13 西安电子科技大学 Based on the dynamic scene depth acquisition methods of fringe structure light
CN105357511B (en) * 2015-12-08 2018-05-15 上海图漾信息科技有限公司 depth data detecting system
CN105069789B (en) * 2015-08-05 2018-03-06 西安电子科技大学 Structure light dynamic scene depth acquisition methods based on coding grid template
CN107240135B (en) * 2017-04-28 2020-07-10 深圳大学 Three-dimensional image reconstruction method and device based on DeBruijn sequence

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CN107240135A (en) 2017-10-10
CN107240135B (en) 2020-07-10
WO2018196304A1 (en) 2018-11-01

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