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Titlebook: Computer Vision, Imaging and Computer Graphics. Theory and Applications; International Joint Paul Richard,José Braz Conference proceedings

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发表于 2025-3-21 19:08:26 | 显示全部楼层 |阅读模式
书目名称Computer Vision, Imaging and Computer Graphics. Theory and Applications
副标题International Joint
编辑Paul Richard,José Braz
视频video
概述Up to date results.Fast-track conference proceedings.State of the art research
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Computer Vision, Imaging and Computer Graphics. Theory and Applications; International Joint  Paul Richard,José Braz Conference proceedings
描述This book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2010, the Joint Conference on Computer Vision Theory and Applications (VISAPP), on Imaging Theory and Applications (IMAGAPP), and on Computer Graphics Theory and Applications (GRAPP), held in Angers, France, in May 2010. The 19 revised full papers presented together with two invited papers were carefully reviewed and selected. The papers are organized in topical sections on computer vision theory and applications; imaging theory and applications; computer graphics theory and applications; and information visualization theory and applications.
出版日期Conference proceedings 2011
关键词cardiac images; discrete mathematics; image segmentation; neural networks; pattern recognition; algorithm
版次1
doihttps://doi.org/10.1007/978-3-642-25382-9
isbn_softcover978-3-642-25381-2
isbn_ebook978-3-642-25382-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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Gabor-Like Image Filtering for Transient Feature Detection and Global Energy Estimation Applied to M” for a temporal recognition of the corresponding facial expression. When tested for automatic detection of “emotional segment” in 96 sequences from the MMI and Hammal-Caplier facial expression databases, the proposed method achieved an accuracy of 89%. Tested on 1655 images the automatic detection
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Adaptive Segmentation of Particles and Cells for Fluorescent Microscope Imaging experimental evaluation based on ground-truth data that confirms the high-quality of our segmentation results regarding these aims and opens perspectives towards deeper insights into biological systems for other problems from systems biology.
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https://doi.org/10.1057/9780230000544” for a temporal recognition of the corresponding facial expression. When tested for automatic detection of “emotional segment” in 96 sequences from the MMI and Hammal-Caplier facial expression databases, the proposed method achieved an accuracy of 89%. Tested on 1655 images the automatic detection
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Automatic Wood Log Segmentation Using Graph Cutsreground and background. With this information the weights in the graph cut method can be set automatically. In order to validate our results, we use four different methods to set these weights. We show that of these approaches, our new method obtains the best results.
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