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Titlebook: Image Analysis and Recognition; 9th International Co Aurélio Campilho,Mohamed Kamel Conference proceedings 2012 Springer-Verlag Berlin Heid

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書目名稱Image Analysis and Recognition
副標(biāo)題9th International Co
編輯Aurélio Campilho,Mohamed Kamel
視頻videohttp://file.papertrans.cn/462/461391/461391.mp4
概述Up to date results.Fast track conference proceedings.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis and Recognition; 9th International Co Aurélio Campilho,Mohamed Kamel Conference proceedings 2012 Springer-Verlag Berlin Heid
描述The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR 2012, held in Aveiro, Portugal, in June 2012. The 107 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on clustering and classification; image processing; image analysis; motion analysis and tracking; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal image analysis; and call detection and modeling.
出版日期Conference proceedings 2012
關(guān)鍵詞biomedical data; computer graphics; machine learning; smartphone programming; unconstrained optimization
版次1
doihttps://doi.org/10.1007/978-3-642-31298-4
isbn_softcover978-3-642-31297-7
isbn_ebook978-3-642-31298-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

書目名稱Image Analysis and Recognition影響因子(影響力)




書目名稱Image Analysis and Recognition影響因子(影響力)學(xué)科排名




書目名稱Image Analysis and Recognition網(wǎng)絡(luò)公開度




書目名稱Image Analysis and Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Image Analysis and Recognition被引頻次




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https://doi.org/10.1007/978-3-642-31298-4biomedical data; computer graphics; machine learning; smartphone programming; unconstrained optimization
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Multi-stage Visible Wavelength and Near Infrared Iris Segmentation Frameworkng time-consuming exhaustive search approaches, like traditional circular Hough Transform or Daugman’s integrodifferential operator, an iterative approach is used. By decoupling coarse center detection and fine boundary localization, faster processing and modular design can be achieved. This allevia
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Explicit Integration of Identity Information from Skin Regions to Improve Face Recognitionrmation extracted from the forehead region is combined with scores produced by a kernel-based face recognition algorithm in a novel framework that can adapt to the availability of pure skin patches. A novel skin/non-skin classifier is presented for detecting such pure skin patches in the forehead re
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