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WO2009150361A3 - Procede et dispositif de reconnaissance invariante-affine de formes - Google Patents

Procede et dispositif de reconnaissance invariante-affine de formes Download PDF

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Publication number
WO2009150361A3
WO2009150361A3 PCT/FR2009/050923 FR2009050923W WO2009150361A3 WO 2009150361 A3 WO2009150361 A3 WO 2009150361A3 FR 2009050923 W FR2009050923 W FR 2009050923W WO 2009150361 A3 WO2009150361 A3 WO 2009150361A3
Authority
WO
WIPO (PCT)
Prior art keywords
invariant
digital
shapes
recognition
rotation
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.)
Ceased
Application number
PCT/FR2009/050923
Other languages
English (en)
Other versions
WO2009150361A2 (fr
Inventor
Jean-Michel Morel
Guoshen Yu
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.)
Ecole Polytechnique
Ecole Normale Superieure de Paris
Original Assignee
Ecole Polytechnique
Ecole Normale Superieure de Paris
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 Ecole Polytechnique, Ecole Normale Superieure de Paris filed Critical Ecole Polytechnique
Priority to JP2011510028A priority Critical patent/JP5442721B2/ja
Priority to EP09761912A priority patent/EP2289026A2/fr
Priority to US12/993,499 priority patent/US8687920B2/en
Priority to CN200980127996.XA priority patent/CN102099815B/zh
Publication of WO2009150361A2 publication Critical patent/WO2009150361A2/fr
Publication of WO2009150361A3 publication Critical patent/WO2009150361A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/754—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries involving a deformation of the sample pattern or of the reference pattern; Elastic matching
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/11—Technique with transformation invariance effect

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Studio Devices (AREA)

Abstract

L'invention concerne un procédé pour la reconnaissance d'objets dans au moins une image digitale dans lequel : a) à partir de ladite image digitale, on simule une pluralité de rotations digitales et au moins deux tilts digitaux différents de 1, de façon à élaborer pour chaque couple rotation-tilt, une image simulée; et b) on applique un algorithme produisant des valeurs invariantes par translation, rotation et zoom sur les images simulées de façon à déterminer des caractéristiques locales dites SIFs (« scale invariant features ») que l'on utilise pour la reconnaissance d'objets. A l'étape b, on peut utiliser la méthode SIFT.
PCT/FR2009/050923 2008-05-19 2009-05-18 Procede et dispositif de reconnaissance invariante-affine de formes Ceased WO2009150361A2 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
JP2011510028A JP5442721B2 (ja) 2008-05-19 2009-05-18 形状の不変量アフィン認識方法及びデバイス
EP09761912A EP2289026A2 (fr) 2008-05-19 2009-05-18 Procédé et dispositif de reconnaissance invariante-affine de formes
US12/993,499 US8687920B2 (en) 2008-05-19 2009-05-18 Method and device for the invariant-affine recognition of shapes
CN200980127996.XA CN102099815B (zh) 2008-05-19 2009-05-18 用于形状的仿射不变识别的方法和装置

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR0853244 2008-05-19
FR0853244A FR2931277B1 (fr) 2008-05-19 2008-05-19 Procede et dispositif de reconnaissance invariante-affine de formes

Publications (2)

Publication Number Publication Date
WO2009150361A2 WO2009150361A2 (fr) 2009-12-17
WO2009150361A3 true WO2009150361A3 (fr) 2010-02-25

Family

ID=40352778

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/FR2009/050923 Ceased WO2009150361A2 (fr) 2008-05-19 2009-05-18 Procede et dispositif de reconnaissance invariante-affine de formes

Country Status (7)

Country Link
US (1) US8687920B2 (fr)
EP (1) EP2289026A2 (fr)
JP (1) JP5442721B2 (fr)
KR (1) KR20110073386A (fr)
CN (1) CN102099815B (fr)
FR (1) FR2931277B1 (fr)
WO (1) WO2009150361A2 (fr)

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CN102231191B (zh) * 2011-07-17 2012-12-26 西安电子科技大学 基于asift的多模态图像特征提取与匹配方法
US9020982B2 (en) * 2012-10-15 2015-04-28 Qualcomm Incorporated Detection of planar targets under steep angles
CN103076943B (zh) * 2012-12-27 2016-02-24 小米科技有限责任公司 一种图标的转换方法和图标的转换装置
JP6014008B2 (ja) * 2013-11-13 2016-10-25 日本電信電話株式会社 幾何検証装置、幾何検証方法及びプログラム
CN104156413A (zh) * 2014-07-30 2014-11-19 中国科学院自动化研究所 一种基于商标密度的个性化商标匹配识别方法
US9026407B1 (en) * 2014-10-16 2015-05-05 Christine Marie Kennefick Method of making and using a material model of elements with planar faces
CN109801234B (zh) * 2018-12-28 2023-09-22 南京美乐威电子科技有限公司 图像几何校正方法及装置
JP7426611B2 (ja) 2019-01-24 2024-02-02 パナソニックＩｐマネジメント株式会社 校正方法および校正装置

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Also Published As

Publication number Publication date
WO2009150361A2 (fr) 2009-12-17
US20110069889A1 (en) 2011-03-24
US8687920B2 (en) 2014-04-01
FR2931277A1 (fr) 2009-11-20
KR20110073386A (ko) 2011-06-29
CN102099815B (zh) 2014-09-17
JP2011521372A (ja) 2011-07-21
FR2931277B1 (fr) 2010-12-31
CN102099815A (zh) 2011-06-15
JP5442721B2 (ja) 2014-03-12
EP2289026A2 (fr) 2011-03-02

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