CN109409398B - 图像处理装置、图像处理方法以及存储介质 - Google Patents

图像处理装置、图像处理方法以及存储介质 Download PDF

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CN109409398B
CN109409398B CN201810927431.0A CN201810927431A CN109409398B CN 109409398 B CN109409398 B CN 109409398B CN 201810927431 A CN201810927431 A CN 201810927431A CN 109409398 B CN109409398 B CN 109409398B
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CN109409398A (zh
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稻叶正树
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Canon Inc
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    • 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
    • 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
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
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    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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    • G06F18/24133—Distances to prototypes
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    • G06N3/0464—Convolutional networks [CNN, ConvNet]
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
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    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19147—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/1916—Validation; Performance evaluation
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    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19173—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/192—Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references
    • G06V30/194—References adjustable by an adaptive method, e.g. learning

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CN201810927431.0A 2017-08-17 2018-08-15 图像处理装置、图像处理方法以及存储介质 Active CN109409398B (zh)

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JP7424374B2 (ja) * 2019-05-23 2024-01-30 コニカミノルタ株式会社 物体検出装置、物体検出システム、物体検出方法、プログラムおよび記録媒体
US12260617B2 (en) 2019-05-23 2025-03-25 Konica Minolta, Inc. Object detection device, object detection method, program, and recording medium
US11170264B2 (en) 2019-05-31 2021-11-09 Raytheon Company Labeling using interactive assisted segmentation
JP2020197795A (ja) * 2019-05-31 2020-12-10 キヤノンマーケティングジャパン株式会社 情報処理装置、情報処理方法、プログラム
CN110210456A (zh) * 2019-06-19 2019-09-06 贵州理工学院 一种基于3d卷积神经网络的头部姿态估计方法
JP2021010970A (ja) * 2019-07-05 2021-02-04 京セラドキュメントソリューションズ株式会社 ロボットシステム及びロボット制御方法
JP2021033572A (ja) * 2019-08-22 2021-03-01 株式会社豊田自動織機 画像データ収集装置及び画像データ仕分け方法
JP7353875B2 (ja) * 2019-09-04 2023-10-02 株式会社東芝 センサシステム、およびセンシング方法
US12361100B1 (en) 2019-12-09 2025-07-15 Cognex Corporation System and method for applying deep learning tools to machine vision and interface for the same
US12315277B2 (en) 2019-12-09 2025-05-27 Cognex Corporation System and method for applying deep learning tools to machine vision and interface for the same
DE102020200897A1 (de) 2020-01-27 2021-09-23 Zf Friedrichshafen Ag Verfahren zur Erzeugung gelabelter Trainingsdaten
CN111400533B (zh) * 2020-03-02 2023-10-17 北京三快在线科技有限公司 图像筛选方法、装置、电子设备和存储介质
JP7649646B2 (ja) * 2020-12-28 2025-03-21 株式会社フジクラ 機械学習装置、機械学習方法、及び機械学習プログラム
JP7347464B2 (ja) * 2021-03-16 2023-09-20 トヨタ自動車株式会社 画像処理装置
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JP6970553B2 (ja) 2021-11-24
US20190057274A1 (en) 2019-02-21
US10769473B2 (en) 2020-09-08
DE102018119682A1 (de) 2019-02-21
CN109409398A (zh) 2019-03-01

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