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Titlebook: Computer Vision -- ACCV 2009; 9th Asian Conference Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank Conference proceedings 2010 Springer-Ve

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书目名称Computer Vision -- ACCV 2009
副标题9th Asian Conference
编辑Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank
视频video
概述State of the art research in computer vision.Most important conference related to computer vision in Asia.Thoroughly reviewed post conference proceedings
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision -- ACCV 2009; 9th Asian Conference Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank Conference proceedings 2010 Springer-Ve
描述It givesus greatpleasureto presentthe proceedings of the 9th Asian Conference on Computer Vision (ACCV 2009), held in Xi’an, China, in September 2009. This was the ?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8% in total. In the paper reviewing, we continued the tradition of previous ACCVsbyconductingtheprocessinadouble-blindmanner.Eachofthe33Area Chairs received a pool of about 20 papers and nominated a number of potential reviewers for each paper. Then, Program Committee Chairs allocated at least three reviewers to each paper, taking into consideration any con?icts of interest and the balance of loads. Once the reviews were ?nished, the Area Chairs made summaryreportsforthepapersintheirpools,basedonthereviewers’comments and on their own assessments of the papers.
出版日期Conference proceedings 2010
关键词3D vision; SVM; active contour models; algorithms; biometrics; statistical methods; watermarking
版次1
doihttps://doi.org/10.1007/978-3-642-12297-2
isbn_softcover978-3-642-12296-5
isbn_ebook978-3-642-12297-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
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An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Modelserification is generated by adding noise into character or digit images to make them hard to be recognized by Optical Character Recognition (OCR). In this paper, we propose a novel probability gradient function for active contour models to efficiently segment this type of images for easier recogniti
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Color Correction and Compression for Multi-view Video Using H.264 Features viewpoints deteriorate the visual quality of multi-view video. This paper deals with these two problems simultaneously focusing on color. With the spatial block-matching information from multi-view video coding, color annotated images can be produced given gray input in one view and color input in
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Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlatione a great deal of computational cost, and have difficulty in real-time applications. In this paper, we propose a real-time system for object detection in outdoor environments using a graphics processing unit (GPU). We implement two algorithms on a GPU: adaptive background model, and margined sign co
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Weighted Map for Reflectance and Shading Separation Using a Single Imageo of each point) and shading (the illumination of each point). Because reflectance images are invariant under different illumination conditions, they are more appropriate for some vision applications, such as recognition, detection. We develop the system to separate them from a single image. Firstly
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Polygonal Light Source Estimation, while this work considers an area light source which is estimated in 3D space by reconstructing its edges. An empirical analysis on existing methods for line estimation from a single view is carried out, and it is shown that line estimation for a single view of a sphere is an ill-conditioned confi
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