WO2010004417A3 - Method for distributed and minimum-support point matching in two or more images of 3d scene taken with video or stereo camera. - Google Patents

Method for distributed and minimum-support point matching in two or more images of 3d scene taken with video or stereo camera. Download PDF

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Publication number
WO2010004417A3
WO2010004417A3 PCT/IB2009/006206 IB2009006206W WO2010004417A3 WO 2010004417 A3 WO2010004417 A3 WO 2010004417A3 IB 2009006206 W IB2009006206 W IB 2009006206W WO 2010004417 A3 WO2010004417 A3 WO 2010004417A3
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WO
WIPO (PCT)
Prior art keywords
images
points
matching
stereo
density
Prior art date
Application number
PCT/IB2009/006206
Other languages
French (fr)
Other versions
WO2010004417A2 (en
Inventor
Sergei Startchik
Original Assignee
Sergei Startchik
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 Sergei Startchik filed Critical Sergei Startchik
Priority to EP09786002A priority Critical patent/EP2335220A2/en
Publication of WO2010004417A2 publication Critical patent/WO2010004417A2/en
Publication of WO2010004417A3 publication Critical patent/WO2010004417A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • 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
    • G06T2207/10004—Still image; Photographic image
    • G06T2207/10012—Stereo images

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

The dense matching of points between a pair of stereo images is required for a number of applications such as augmented reality, security surveillance, navigation, etc. The density of stereo matching depends on the precision of the matching between two images (left and right in case of stereo). This density in turn depends on how precisely individual points are matched with several constraints such as coninuity, epipolar, order, smoothness. This patent discloses a method to automatically compute matchings of point tuples between two images without using previous constraints. The points lie on the specific curve - twisted cubic - that is used to sample two images and establish matchings between those points. Points are grouped by tuples of six or more and described by geometric values invariant to the projection from 3D to the 2D. The chromatic values independent of the illumination complement that description. A combination of algo- rithm steps and data representation allow an optimal and time-efficient implementa¬ tion. The result of such matching can directly be used for dense reconstruction surfaces or augmented reality registration with very high resolution and density.
PCT/IB2009/006206 2008-07-06 2009-07-06 Method for distributed and minimum-support point matching in two or more images of 3d scene taken with video or stereo camera. WO2010004417A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP09786002A EP2335220A2 (en) 2008-07-06 2009-07-06 Method for distributed and minimum-support point matching in two or more images of 3d scene taken with video or stereo camera.

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CH2008000303 2008-07-06
CHPCT/CH2008/000303 2008-07-06

Publications (2)

Publication Number Publication Date
WO2010004417A2 WO2010004417A2 (en) 2010-01-14
WO2010004417A3 true WO2010004417A3 (en) 2014-01-16

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2009/006206 WO2010004417A2 (en) 2008-07-06 2009-07-06 Method for distributed and minimum-support point matching in two or more images of 3d scene taken with video or stereo camera.

Country Status (2)

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EP (1) EP2335220A2 (en)
WO (1) WO2010004417A2 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9619933B2 (en) 2014-06-16 2017-04-11 Occipital, Inc Model and sizing information from smartphone acquired image sequences
CN104299228B (en) * 2014-09-23 2017-08-25 中国人民解放军信息工程大学 A kind of remote sensing image dense Stereo Matching method based on Accurate Points position prediction model
CN105139375B (en) * 2015-07-15 2017-09-29 武汉大学 Combining global DEM and stereoscopic vision a kind of satellite image cloud detection method of optic
CN105205808B (en) * 2015-08-20 2018-01-23 武汉大学 Multi-view images dense Stereo Matching fusion method and system based on multiple features multiple constraint
CN105160702B (en) * 2015-08-20 2017-09-29 武汉大学 The stereopsis dense Stereo Matching method and system aided in based on LiDAR point cloud
CN105225233B (en) * 2015-09-15 2018-01-26 武汉大学 A kind of stereopsis dense Stereo Matching method and system based on the expansion of two classes
CN107240110A (en) * 2017-06-05 2017-10-10 张洋 Projection mapping region automatic identifying method based on machine vision technique
CN109840457B (en) * 2017-11-29 2021-05-18 深圳市掌网科技股份有限公司 Augmented reality registration method and augmented reality registration device
CN112767460B (en) * 2020-12-31 2022-06-14 武汉大学 Spatial fingerprint image registration element feature description and matching method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
HU Z Y ET AL: "The invariant representations of a quadric cone and a twisted cubic", TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE, PISCATAWAY, USA, vol. 25, no. 10, 1 October 2003 (2003-10-01), pages 1329 - 1332, XP011101858, ISSN: 0162-8828, DOI: 10.1109/TPAMI.2003.1233907 *
MARK HOLDEN: "A Review of Geometric Transformations for Nonrigid Body Registration", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE SERVICE CENTER, PISCATAWAY, NJ, US, vol. 26, no. 1, 1 January 2008 (2008-01-01), pages 111 - 128, XP011195371, ISSN: 0278-0062 *
SALVI ET AL: "A review of recent range image registration methods with accuracy evaluation", IMAGE AND VISION COMPUTING, ELSEVIER, GUILDFORD, GB, vol. 25, no. 5, 21 February 2007 (2007-02-21), pages 578 - 596, XP005897137, ISSN: 0262-8856, DOI: 10.1016/J.IMAVIS.2006.05.012 *
See also references of EP2335220A2 *

Also Published As

Publication number Publication date
EP2335220A2 (en) 2011-06-22
WO2010004417A2 (en) 2010-01-14

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