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Titlebook: Computer Vision; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017

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书目名称Computer Vision
副标题Second CCF Chinese C
编辑Jinfeng Yang,Qinghua Hu,Deyu Meng
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; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017
描述This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the  CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. . The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection
出版日期Conference proceedings 2017
关键词computer vision; pattern recognition; object detection; video analysis; deep neural networks; image resto
版次1
doihttps://doi.org/10.1007/978-981-10-7302-1
isbn_softcover978-981-10-7301-4
isbn_ebook978-981-10-7302-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2017
The information of publication is updating

书目名称Computer Vision影响因子(影响力)




书目名称Computer Vision影响因子(影响力)学科排名




书目名称Computer Vision网络公开度




书目名称Computer Vision网络公开度学科排名




书目名称Computer Vision被引频次




书目名称Computer Vision被引频次学科排名




书目名称Computer Vision年度引用




书目名称Computer Vision年度引用学科排名




书目名称Computer Vision读者反馈




书目名称Computer Vision读者反馈学科排名




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Massively Parallel Image Index for Vocabulary Tree Based Image Retrievalibutions include tree structure transformation, image package processing and task parallelism. Our GPU-based image index is up to around thirty times faster than the original method and the whole GPU-based vocabulary tree algorithm is improved by twenty percentage in speed.
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Conference proceedings 2017assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection
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Jean-Sébastien Coron,Hilder V. L. Pereirause 3D Dense Face Alignment (3DDFA) to obtain a fitted 3D morphable model, which is constrained by matching keypoints. From our experiments, a large pore-to-pore correspondence dataset, including 17,136 classes of matched pore-keypoint pairs, is established.
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Advances in Cryptology – ASIACRYPT 2020triadic autoencoder with deep architecture is developed for the shared and specific factors learning. Extensive experiments are conducted for cross-modal retrieval and multi-model clustering, which clearly demonstrate the effectiveness of our model.
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https://doi.org/10.1007/978-3-030-64840-4 an iterative optimizing algorithm is designed. Experimental results on cross-modal retrieval have shown the superiority of UDM over the compared approaches and the rapid convergence speed of the optimizing algorithm.
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