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Titlebook: Computer Vision - ACCV 2012 Workshops; ACCV 2012 Internatio Jong-Il Park,Junmo Kim Conference proceedings 2013 Springer-Verlag Berlin Heide

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書目名稱Computer Vision - ACCV 2012 Workshops
副標(biāo)題ACCV 2012 Internatio
編輯Jong-Il Park,Junmo Kim
視頻videohttp://file.papertrans.cn/234/234000/234000.mp4
概述Covers the full range of state-of-the-art research topics in computer vision.Contains 30 in-depth papers.Presents contemporary results
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision - ACCV 2012 Workshops; ACCV 2012 Internatio Jong-Il Park,Junmo Kim Conference proceedings 2013 Springer-Verlag Berlin Heide
描述The two volume set, consisting of LNCS 7728 and 7729, contains the carefully reviewed and selected papers presented at the nine workshops that were held in conjunction with the 11th Asian Conference on Computer Vision, ACCV 2012, in Daejeon, South Korea, in November 2012.From a total of 310 papers submitted, 78 were selected for presentation. LNCS 7728 contains the papers selected for the International Workshop on Computer Vision with Local Binary Pattern Variants, the Workshop on Computational Photography and Low-Level Vision, the Workshop on Developer-Centered Computer Vision, and the Workshop on Background Models Challenge. LNCS 7729 contains the papers selected for the Workshop on e-Heritage, the Workshop on Color Depth Fusion in Computer Vision, the Workshop on Face Analysis, the Workshop on Detection and Tracking in Challenging Environments, and the International Workshop on Intelligent Mobile Vision.
出版日期Conference proceedings 2013
關(guān)鍵詞automatic body capture; face recognition; foreground/background extraction; image processing; video anal
版次1
doihttps://doi.org/10.1007/978-3-642-37410-4
isbn_softcover978-3-642-37409-8
isbn_ebook978-3-642-37410-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Jong-Il Park,Junmo KimCovers the full range of state-of-the-art research topics in computer vision.Contains 30 in-depth papers.Presents contemporary results
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https://doi.org/10.1007/978-3-031-46250-4s a kernel method, the parameter of kernel function is very important for correntropy metrics. In this paper, we propose an adaptive parameter selection strategy for correntropy metrics and deduce a close-form solution based on the Maximum Correntropy Criterion (MCC). Moreover, considering the corre
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A Far-Reaching Transnational Spacea new adaptive local binary pattern (ALBP) descriptor is presented in order to carry out the local description. It is built by adding oriented standard deviation information to an ALBP descriptor in order to achieve a more complete representation of the images and hence it has been called ALBPS. Reg
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