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Titlebook: Computer Vision –ACCV 2016; 13th Asian Conferenc Shang-Hong Lai,Vincent Lepetit,Yoichi Sato Conference proceedings 2017 Springer Internatio

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书目名称Computer Vision –ACCV 2016
副标题13th Asian Conferenc
编辑Shang-Hong Lai,Vincent Lepetit,Yoichi Sato
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision –ACCV 2016; 13th Asian Conferenc Shang-Hong Lai,Vincent Lepetit,Yoichi Sato Conference proceedings 2017 Springer Internatio
描述.The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016..The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions. The papers are organized in topical sections on Segmentation and Classification; Segmentation and Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions; Faces; Computational Photography; Face and Gestures; Image Alignment; Computational Photography and Image Processing; Language and Video; 3D Computer Vision; Image Attributes, Language, and Recognition; Video Understanding; and 3D Vision..
出版日期Conference proceedings 2017
关键词3D vision; clustering; computer vision; image processing; neural networks; neural networks; action recogni
版次1
doihttps://doi.org/10.1007/978-3-319-54190-7
isbn_softcover978-3-319-54189-1
isbn_ebook978-3-319-54190-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Adaptive Direct RGB-D Registration and Mapping for Large Motionsality and robustness of this approach..The methodology is formulated for a generic warping model and results are given using perspective and spherical sensor models. Finally, our method is validated in different RGB-D spherical datasets, including both indoor and outdoor real sequences and using the
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Blind Image Quality Assessment Based on Natural Redundancy Statistics
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https://doi.org/10.1057/9781137454669nd novel problem of simultaneously performing SR recovery and interreflection removal from a single hyperspectral image, and develop the first strategy to address it. Specifically, we model this problem using a compact sparsity regularized nonnegative matrix factorization (NMF) formulation, and intr
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