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Titlebook: Computer Vision, Imaging and Computer Graphics Theory and Applications; 11th International J José Braz,Nadia Magnenat-Thalmann,Francisco Im

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书目名称Computer Vision, Imaging and Computer Graphics Theory and Applications
副标题11th International J
编辑José Braz,Nadia Magnenat-Thalmann,Francisco Imai
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Computer Vision, Imaging and Computer Graphics Theory and Applications; 11th International J José Braz,Nadia Magnenat-Thalmann,Francisco Im
描述This book constitutes thoroughly revised and selected papers from the 11.th. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016, held in Rome, Italy, in February 2016. VISIGRAPP comprises GRAPP, International Conference on Computer Graphics Theory and Applications; IVAPP, International Conference on Information Visualization Theory and Applications; and VISAPP, International Conference on Computer Vision Theory and Applications. .The 28 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 338 submissions. The book also contains one invited talk in full-paper length. The regular papers were organized in topical sections named: computer graphics theory and applications; information visualization theory and applications; and computer vision theory and applications. 
出版日期Conference proceedings 2017
关键词3D; algorithms; applied computing; artificial intelligence; augmented reality; computer vision; data minin
版次1
doihttps://doi.org/10.1007/978-3-319-64870-5
isbn_softcover978-3-319-64869-9
isbn_ebook978-3-319-64870-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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https://doi.org/10.1007/978-1-4615-1263-9 explore the potential parallelism that exists in the problem and propose an algorithm suitable to be accelerated by the graphics hardware. In our algorithm, the vectorization task is decomposed into four steps: detecting the boundary pixels, pre-computing the connectivity relationship of detected p
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Luhmann (2) Systems and Environmentsometry. However, the exact curvature can only be evaluated for analytical surfaces and not for discrete ones. Existing algorithms estimate curvature for discrete geometry with a certain precision. Most of the time, the performance of those algorithms is low and they are not intended to be used in re
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https://doi.org/10.1007/3-540-34488-8ple channels of signal need to be sampled simultaneously while keeping their blue-noise property for each individual channel as well as their superimposition. To solve this problem, we propose a novel discrete sampling algorithm called . (MCED). The algorithm couples multiple processes of error-diff
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https://doi.org/10.1007/3-540-34488-8equires the observed data to be Gaussian-distributed. We show that this requirement is not fulfilled in the context of analysis and synthesis of facial appearance. The model mismatch leads to unnatural artifacts which are severe to human perception. As a remedy, we use a semiparametric Gaussian copu
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The Emerging Digital Economy: Conclusionsing appealing character animation can best be described by the title of the animation bible: “.”. The focus is not on completing a given motion task, but more importantly on how this motion task is performed by the character. This does not necessarily require realistic behavior, but behavior that is
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The Emerging Domain of Cooperating Objectst algorithms for tag clouds have been developed in the recent years, but none of these approaches is designed to reflect the notion of hierarchical distance. For that purpose, we introduce a novel tag cloud layout called .. By arranging tags on various hierarchy levels and applying appropriate color
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