FR3094532B1 - Procédé et système d'identification d'objets à partir d'images labellisées desdits objets - Google Patents

Procédé et système d'identification d'objets à partir d'images labellisées desdits objets Download PDF

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Publication number
FR3094532B1
FR3094532B1 FR1903232A FR1903232A FR3094532B1 FR 3094532 B1 FR3094532 B1 FR 3094532B1 FR 1903232 A FR1903232 A FR 1903232A FR 1903232 A FR1903232 A FR 1903232A FR 3094532 B1 FR3094532 B1 FR 3094532B1
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France
Prior art keywords
labeled
images
adjustment
objects
mutualized
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FR1903232A
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English (en)
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FR3094532A1 (fr
Inventor
Stefan Berechet
Ion Berechet
Gérard Berginc
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Thales SA
Sispia SARL
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Thales SA
Sispia SARL
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Priority to FR1903232A priority Critical patent/FR3094532B1/fr
Priority to US17/598,177 priority patent/US20220180620A1/en
Priority to EP20712507.1A priority patent/EP3948664A1/fr
Priority to JP2021557475A priority patent/JP2022525812A/ja
Priority to PCT/EP2020/057107 priority patent/WO2020193253A1/fr
Priority to KR1020217032215A priority patent/KR20210140740A/ko
Publication of FR3094532A1 publication Critical patent/FR3094532A1/fr
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Publication of FR3094532B1 publication Critical patent/FR3094532B1/fr
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7788—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being a human, e.g. interactive learning with a human teacher

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)

Abstract

Le système d’identification d’objets à partir d’images comprend un module d’agréation et de mutualisation d’images recevant en entrée les première, deuxième, et troisième pluralités d’images labellisées respectivement par l’expert métier, par apprentissage automatique et par apprentissage automatique profond et délivrant en sortie une pluralité d’images labélisées mutualisées d’ajustement ayant la meilleure précision ; et un module d’agrégation et de mutualisation d’invariants recevant en entrée les première, deuxième, et troisième pluralités invariants labellisés respectivement par l’expert métier, par apprentissage automatique et par apprentissage automatique profond et délivrant en sortie une pluralité d’invariants labélisés mutualisés d’ajustement ayant la meilleure précision.En réponse à une nouvelle pluralité d’images de l’objet à identifier, les premier, deuxième, et troisième modules d’identification sont conçus pour utiliser en entrée, séparément et séquentiellement pour leur identification respective, la pluralité d’images labellisés mutualisés d’ajustement et/ou la pluralité d’invariants labellisés mutualisés d’ajustement issus des modules d’agrégation et de mutualisation. Figure pour l’abrégé : Fig. 1
FR1903232A 2019-03-28 2019-03-28 Procédé et système d'identification d'objets à partir d'images labellisées desdits objets Active FR3094532B1 (fr)

Priority Applications (6)

Application Number Priority Date Filing Date Title
FR1903232A FR3094532B1 (fr) 2019-03-28 2019-03-28 Procédé et système d'identification d'objets à partir d'images labellisées desdits objets
US17/598,177 US20220180620A1 (en) 2019-03-28 2020-03-16 Method and system for identifying objects from labeled images of said objects
EP20712507.1A EP3948664A1 (fr) 2019-03-28 2020-03-16 Procede et systeme d'identification d'objets a partir d'images labellisees desdits objets
JP2021557475A JP2022525812A (ja) 2019-03-28 2020-03-16 オブジェクトを前記オブジェクトのラベル付き画像から識別するための方法及びシステム
PCT/EP2020/057107 WO2020193253A1 (fr) 2019-03-28 2020-03-16 Procede et systeme d'identification d'objets a partir d'images labellisees desdits objets
KR1020217032215A KR20210140740A (ko) 2019-03-28 2020-03-16 오브젝트들의 픽셀화된 이미지들로부터 오브젝트들을 식별하기 위한 방법 및 시스템

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1903232 2019-03-28
FR1903232A FR3094532B1 (fr) 2019-03-28 2019-03-28 Procédé et système d'identification d'objets à partir d'images labellisées desdits objets

Publications (2)

Publication Number Publication Date
FR3094532A1 FR3094532A1 (fr) 2020-10-02
FR3094532B1 true FR3094532B1 (fr) 2021-09-10

Family

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Family Applications (1)

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FR1903232A Active FR3094532B1 (fr) 2019-03-28 2019-03-28 Procédé et système d'identification d'objets à partir d'images labellisées desdits objets

Country Status (6)

Country Link
US (1) US20220180620A1 (fr)
EP (1) EP3948664A1 (fr)
JP (1) JP2022525812A (fr)
KR (1) KR20210140740A (fr)
FR (1) FR3094532B1 (fr)
WO (1) WO2020193253A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20240067420A (ko) * 2022-11-09 2024-05-17 현대자동차주식회사 사이드 아우터 추출 시스템 및 사이드 아우터 추출 방법

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4253522B2 (ja) * 2003-03-28 2009-04-15 株式会社日立ハイテクノロジーズ 欠陥分類方法及び装置
FR2981772B1 (fr) 2011-10-21 2017-12-22 Thales Sa Procede de reconstruction 3d d'un objet d'une scene
US10095917B2 (en) 2013-11-04 2018-10-09 Facebook, Inc. Systems and methods for facial representation
US9984314B2 (en) * 2016-05-06 2018-05-29 Microsoft Technology Licensing, Llc Dynamic classifier selection based on class skew

Also Published As

Publication number Publication date
KR20210140740A (ko) 2021-11-23
EP3948664A1 (fr) 2022-02-09
JP2022525812A (ja) 2022-05-19
US20220180620A1 (en) 2022-06-09
WO2020193253A1 (fr) 2020-10-01
FR3094532A1 (fr) 2020-10-02

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