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Titlebook: Computer Vision -- ECCV 2010; 11th European Confer Kostas Daniilidis,Petros Maragos,Nikos Paragios Conference proceedings 2010 Springer-Ver

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书目名称Computer Vision -- ECCV 2010
副标题11th European Confer
编辑Kostas Daniilidis,Petros Maragos,Nikos Paragios
视频video
概述Fast-track conference proceedings
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision -- ECCV 2010; 11th European Confer Kostas Daniilidis,Petros Maragos,Nikos Paragios Conference proceedings 2010 Springer-Ver
描述The 2010 edition of the European Conference on Computer Vision was held in Heraklion, Crete. The call for papers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: ? Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at least two times as Area Chairs within the past two years at major vision conferences were excluded; (2) Researchers who served as Area Chairs at the 2010 Computer Vision and Pattern Recognition were also excluded (exception: ECCV 2012 Program Chairs); (3) Minimization of overlap introduced by Area Chairs being former student and advisors; (4) 20% of the Area Chairs had never served before in a major conference; (5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. ?Each Area Chair was assigned by the Program Chairs between 28–32 papers. Based on paper content, the Area Chair recommended up to seven potential reviewers per paper. Such assignment was made using all
出版日期Conference proceedings 2010
关键词biometrics; computational imaging; face recognition; gesture recognition; illumination; image alignment; i
版次1
doihttps://doi.org/10.1007/978-3-642-15549-9
isbn_softcover978-3-642-15548-2
isbn_ebook978-3-642-15549-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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An Iterative Method with General Convex Fidelity Term for Image Restorationent descent implementations. The numerical experiments indicate that the iterative procedure yields high quality reconstructions and superior results to those obtained by one-step gradient descent and similar with other iterative methods.
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Chrono-Gait Image: A Novel Temporal Template for Gait RecognitionSF HumanID database indicate that compared with the recently published gait recognition approaches, our .-based approach attains better performance in gait recognition with considerable robustness to gait period detection.
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Linda Eftychiou,Christo El Morrtion. We then recover the FS-PSF by finding the motion parameters that maximize the correlation. We demonstrate our techniques on a variety of motions including constant velocity, constant acceleration, and harmonic rotation. Experimental results show that our method can automatically and accurately
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