JP7104546B2 - 情報処理装置、情報処理方法 - Google Patents

情報処理装置、情報処理方法 Download PDF

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JP7104546B2
JP7104546B2 JP2018077796A JP2018077796A JP7104546B2 JP 7104546 B2 JP7104546 B2 JP 7104546B2 JP 2018077796 A JP2018077796 A JP 2018077796A JP 2018077796 A JP2018077796 A JP 2018077796A JP 7104546 B2 JP7104546 B2 JP 7104546B2
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pixel array
dimensional
dimensional pixel
information processing
image
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JP2019185548A (ja
JP2019185548A5 (https=
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敦夫 野本
晃司 上野
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Canon Inc
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Canon Inc
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Priority to JP2018077796A priority Critical patent/JP7104546B2/ja
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Human Computer Interaction (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
JP2018077796A 2018-04-13 2018-04-13 情報処理装置、情報処理方法 Active JP7104546B2 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2018077796A JP7104546B2 (ja) 2018-04-13 2018-04-13 情報処理装置、情報処理方法
US16/379,882 US10909353B2 (en) 2018-04-13 2019-04-10 Information processing apparatus, information processing method, non-transitory computer-readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2018077796A JP7104546B2 (ja) 2018-04-13 2018-04-13 情報処理装置、情報処理方法

Publications (3)

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JP2019185548A JP2019185548A (ja) 2019-10-24
JP2019185548A5 JP2019185548A5 (https=) 2021-05-27
JP7104546B2 true JP7104546B2 (ja) 2022-07-21

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Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10752253B1 (en) * 2019-08-28 2020-08-25 Ford Global Technologies, Llc Driver awareness detection system
JP7448721B2 (ja) * 2021-03-08 2024-03-12 株式会社日立国際電気 撮像装置及び映像処理システム
CN113837921B (zh) * 2021-09-26 2024-08-06 安徽寒武纪信息科技有限公司 数据处理装置、数据处理方法及相关产品
CN113837923B (zh) * 2021-09-26 2024-08-06 安徽寒武纪信息科技有限公司 数据处理装置、数据处理方法及相关产品
CN118862965B (zh) * 2024-07-12 2025-10-24 上海壁仞科技股份有限公司 一种卷积算子执行方法、设备、存储介质及程序产品

Citations (4)

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JP2001312729A (ja) 2000-04-28 2001-11-09 Minolta Co Ltd 画像処理装置，画像処理方法及び画像処理プログラムを記録した記録媒体
US20100014718A1 (en) 2008-04-17 2010-01-21 Biometricore, Inc Computationally Efficient Feature Extraction and Matching Iris Recognition
JP2011086265A (ja) 2009-10-19 2011-04-28 Canon Inc 画像処理装置及び方法、プログラム及び記憶媒体
US20160162402A1 (en) 2014-12-04 2016-06-09 Nvidia Corporation Indirectly accessing sample data to perform multi-convolution operations in a parallel processing system

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US5577135A (en) * 1994-03-01 1996-11-19 Apple Computer, Inc. Handwriting signal processing front-end for handwriting recognizers
US6408107B1 (en) * 1996-07-10 2002-06-18 Michael I. Miller Rapid convolution based large deformation image matching via landmark and volume imagery
US7634137B2 (en) 2005-10-14 2009-12-15 Microsoft Corporation Unfolded convolution for fast feature extraction
JP5364982B2 (ja) * 2007-06-26 2013-12-11 コニカミノルタ株式会社 情報処理システム
JP5202037B2 (ja) 2008-02-29 2013-06-05 キヤノン株式会社 特徴点位置決定方法及び装置
US8160388B2 (en) 2008-06-17 2012-04-17 International Business Machines Corporation Spatially selective transformation of a spatially varying optical characteristic of an image in an array of pixels
US10067669B1 (en) * 2017-07-13 2018-09-04 King Fahd University Of Petroleum And Minerals Online character recognition

Patent Citations (4)

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Publication number Priority date Publication date Assignee Title
JP2001312729A (ja) 2000-04-28 2001-11-09 Minolta Co Ltd 画像処理装置，画像処理方法及び画像処理プログラムを記録した記録媒体
US20100014718A1 (en) 2008-04-17 2010-01-21 Biometricore, Inc Computationally Efficient Feature Extraction and Matching Iris Recognition
JP2011086265A (ja) 2009-10-19 2011-04-28 Canon Inc 画像処理装置及び方法、プログラム及び記憶媒体
US20160162402A1 (en) 2014-12-04 2016-06-09 Nvidia Corporation Indirectly accessing sample data to perform multi-convolution operations in a parallel processing system

Non-Patent Citations (3)

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Title
Arjun Agrawal et al.，"Feature Based Iris Recognition System Functioning on Extraction of 2D Features"，2012 6th International Conference on Applicaton of Information and Communication Technologies (AICT)，米国，IEEE，2012年10月17日，pp.1-5
斎藤 康毅，"ゼロから作るＤｅｅｐ Ｌｅａｒｎｉｎｇ"，第１版，日本，株式会社オライリー・ジャパン，2016年09月28日，pp.221-227
浅川 伸一，"Ｐｙｔｈｏｎで体験する深層学習"，第１版，日本，株式会社コロナ社，2016年08月18日，pp.99-119

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US20190318157A1 (en) 2019-10-17
US10909353B2 (en) 2021-02-02

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