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Titlebook: Computer Analysis of Images and Patterns; 11th International C André Gagalowicz,Wilfried Philips Conference proceedings 2005 Springer-Verla

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书目名称Computer Analysis of Images and Patterns
副标题11th International C
编辑André Gagalowicz,Wilfried Philips
视频videohttp://file.papertrans.cn/234/233447/233447.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Analysis of Images and Patterns; 11th International C André Gagalowicz,Wilfried Philips Conference proceedings 2005 Springer-Verla
描述This volume presents the proceedings of the 11th International Conference on Computer Analysis of Images and Patterns (CAIP 2005). This conference - ries started about 20 years ago in Berlin. Initially, the conference served as a forum for meetings between scientists from Western and Eastern-block co- tries. Nowadays, the conference attracts participants from all over the world. The conference gives equal weight to posters and oral presentations, and the selected presentation mode is based on the most appropriate communication medium. The program follows a single-track format, rather than parallel s- sions. Non-overlapping oral and poster sessions ensure that all attendees have the opportunity to interact personally with presenters. As for the numbers, we received a total of 185 submissions. All papers were reviewed by two to four members of the Program Committee. The ?nal selection was carried out by the Conference Chairs. Out of the 185 papers, 65 were - lected for oral presentation and 43 as posters. CAIP is becoming well recognized internationally, and this year’s presentations came from 26 di?erent countries. South Korea proved to be the most active scienti?cally with a total
出版日期Conference proceedings 2005
关键词Augmented Reality; biometrics; computer graphics; computer vision; image analysis; multimedia; pattern rec
版次1
doihttps://doi.org/10.1007/11556121
isbn_softcover978-3-540-28969-2
isbn_ebook978-3-540-32011-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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NMF with LogGabor Wavelets for Visualization,ecently proposed unsupervised procedure for learning spatially localized, parts-based subspace representation of objects. Here we present an improvement of the classical NMF by combining with Log-Gabor wavelets to enhance its part-based learning ability. In addition, we compare the new method with p
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Automatic Human Model Generation,ts of two free-form surface patches (with texture maps) for the torso and the arms. Also, the positions for the neck joint on the torso, and six joint positions on the arms (for the wrist, elbow and shoulder) are determined automatically. We present reconstruction results, and, as application, a sim
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