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Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomá? Pajdla,Ji?í Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

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書目名稱Computer Vision - ECCV 2004
副標題8th European Confere
編輯Tomá? Pajdla,Ji?í Matas
視頻videohttp://file.papertrans.cn/235/234005/234005.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomá? Pajdla,Ji?í Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200
描述Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pa
出版日期Conference proceedings 2004
關鍵詞3D reconstruction; Stereo; Textur; camera calibration; classifier systems; computer vision; image processi
版次1
doihttps://doi.org/10.1007/b97871
isbn_softcover978-3-540-21982-8
isbn_ebook978-3-540-24672-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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https://doi.org/10.1007/978-1-349-14683-3, with an adaptive choice of weights for every pair of pixels in the window. We further investigate how the I-divergence could be used to stop the algorithm. It is worth noting the proposed technique is data-driven and fully adaptive. Simulation results show that our algorithm yields promising smoothing results on a variety of real images.
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