WO2011140679A1 - 基于拓扑知觉组织理论的形状图像分类方法 - Google Patents
基于拓扑知觉组织理论的形状图像分类方法 Download PDFInfo
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- WO2011140679A1 WO2011140679A1 PCT/CN2010/000684 CN2010000684W WO2011140679A1 WO 2011140679 A1 WO2011140679 A1 WO 2011140679A1 CN 2010000684 W CN2010000684 W CN 2010000684W WO 2011140679 A1 WO2011140679 A1 WO 2011140679A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2137—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/478—Contour-based spectral representations or scale-space representations, e.g. by Fourier analysis, wavelet analysis or curvature scale-space [CSS]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
Description
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Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2010800037256A CN102511049B (zh) | 2010-05-13 | 2010-05-13 | 基于拓扑知觉组织理论的形状图像分类方法 |
US13/142,650 US8732172B2 (en) | 2010-05-13 | 2010-05-13 | Shape classification method based on the topological perceptual organization theory |
PCT/CN2010/000684 WO2011140679A1 (zh) | 2010-05-13 | 2010-05-13 | 基于拓扑知觉组织理论的形状图像分类方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2010/000684 WO2011140679A1 (zh) | 2010-05-13 | 2010-05-13 | 基于拓扑知觉组织理论的形状图像分类方法 |
Publications (1)
Publication Number | Publication Date |
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WO2011140679A1 true WO2011140679A1 (zh) | 2011-11-17 |
Family
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Family Applications (1)
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PCT/CN2010/000684 WO2011140679A1 (zh) | 2010-05-13 | 2010-05-13 | 基于拓扑知觉组织理论的形状图像分类方法 |
Country Status (3)
Country | Link |
---|---|
US (1) | US8732172B2 (zh) |
CN (1) | CN102511049B (zh) |
WO (1) | WO2011140679A1 (zh) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104111960A (zh) * | 2013-04-22 | 2014-10-22 | 阿里巴巴集团控股有限公司 | 一种页面的匹配方法和装置 |
CN111931873A (zh) * | 2020-09-28 | 2020-11-13 | 支付宝(杭州)信息技术有限公司 | 图像识别方法和装置 |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9268765B1 (en) * | 2012-07-30 | 2016-02-23 | Weongozi Inc. | Systems, methods and computer program products for neurolinguistic text analysis |
US8942515B1 (en) * | 2012-10-26 | 2015-01-27 | Lida Huang | Method and apparatus for image retrieval |
CN103336945B (zh) * | 2013-06-10 | 2017-11-10 | 黑龙江大学 | 融合局部特征与全局特征的指静脉识别方法 |
CN106156798B (zh) * | 2016-07-25 | 2019-10-25 | 河海大学 | 基于环形空间金字塔和多核学习的场景图像分类方法 |
US10110868B2 (en) | 2016-12-22 | 2018-10-23 | Aestatix LLC | Image processing to determine center of balance in a digital image |
CN107766791A (zh) * | 2017-09-06 | 2018-03-06 | 北京大学 | 一种基于全局特征和粗粒度局部特征的行人再识别方法及装置 |
CN109543708B (zh) * | 2018-10-11 | 2021-05-25 | 上海交通大学 | 融合拓扑特征的面向图数据的模式识别方法 |
CN113392766A (zh) * | 2021-06-16 | 2021-09-14 | 哈尔滨理工大学 | 一种基于注意力机制的人脸表情识别方法 |
CN114170607A (zh) * | 2021-12-08 | 2022-03-11 | 成都理工大学 | 一种视觉拓扑认知模型的构建方法、手写汉字识别方法 |
Citations (5)
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WO2004086503A1 (en) * | 2003-03-27 | 2004-10-07 | Green Vision Systems Ltd. | Generating intra-particle crystallographic parameter maps and histograms of a chemically pure crystalline particulate substance |
CN101110100A (zh) * | 2006-07-17 | 2008-01-23 | 松下电器产业株式会社 | 检测图像的几何形状的方法和装置 |
CN101276418A (zh) * | 2008-04-18 | 2008-10-01 | 首都师范大学 | 一种基于显微图像的微生物识别系统及方法 |
WO2010027476A1 (en) * | 2008-09-03 | 2010-03-11 | Rutgers, The State University Of New Jersey | System and method for accurate and rapid identification of diseased regions on biological images with applications to disease diagnosis and prognosis |
CN101702197A (zh) * | 2009-10-26 | 2010-05-05 | 宁波大学 | 一种道路交通标志的检测方法 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3103793B2 (ja) * | 1997-03-11 | 2000-10-30 | 株式会社モノリス | オブジェクトの構造グラフ生成装置、それを利用することの可能なデータ変換装置およびシステム |
CN100485710C (zh) * | 2006-12-22 | 2009-05-06 | 四川川大智胜软件股份有限公司 | 利用数字图像处理技术识别车辆类型的方法 |
-
2010
- 2010-05-13 CN CN2010800037256A patent/CN102511049B/zh active Active
- 2010-05-13 US US13/142,650 patent/US8732172B2/en not_active Expired - Fee Related
- 2010-05-13 WO PCT/CN2010/000684 patent/WO2011140679A1/zh active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2004086503A1 (en) * | 2003-03-27 | 2004-10-07 | Green Vision Systems Ltd. | Generating intra-particle crystallographic parameter maps and histograms of a chemically pure crystalline particulate substance |
CN101110100A (zh) * | 2006-07-17 | 2008-01-23 | 松下电器产业株式会社 | 检测图像的几何形状的方法和装置 |
CN101276418A (zh) * | 2008-04-18 | 2008-10-01 | 首都师范大学 | 一种基于显微图像的微生物识别系统及方法 |
WO2010027476A1 (en) * | 2008-09-03 | 2010-03-11 | Rutgers, The State University Of New Jersey | System and method for accurate and rapid identification of diseased regions on biological images with applications to disease diagnosis and prognosis |
CN101702197A (zh) * | 2009-10-26 | 2010-05-05 | 宁波大学 | 一种道路交通标志的检测方法 |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104111960A (zh) * | 2013-04-22 | 2014-10-22 | 阿里巴巴集团控股有限公司 | 一种页面的匹配方法和装置 |
CN111931873A (zh) * | 2020-09-28 | 2020-11-13 | 支付宝(杭州)信息技术有限公司 | 图像识别方法和装置 |
CN111931873B (zh) * | 2020-09-28 | 2020-12-22 | 支付宝(杭州)信息技术有限公司 | 图像识别方法和装置 |
Also Published As
Publication number | Publication date |
---|---|
CN102511049A (zh) | 2012-06-20 |
US8732172B2 (en) | 2014-05-20 |
CN102511049B (zh) | 2013-07-17 |
US20130046762A1 (en) | 2013-02-21 |
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