tailieunhanh - Báo cáo sinh học: " Editorial Fast and Robust Methods for Multiple-View Vision"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Editorial Fast and Robust Methods for Multiple-View Vision | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2010 Article ID 205283 2 pages doi 2010 205283 Editorial Fast and Robust Methods for Multiple-View Vision Ling Shao 1 Hui Zhang 2 Kenneth K. Y. Wong 3 and Jiebo Luo4 1 The University of Sheffield Sheffield S1 3JD UK 2 United International College Zhuhai 519085 China 3 The University of Hong Kong Hong Kong 4 Kodak Research Laboratories Rochester NY 14650 USA Correspondence should be addressed to Ling Shao Received 9 May 2010 Accepted 9 May 2010 Copyright 2010 Ling Shao et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Image and video processing has always been a hot research topic and has many practical applications in areas such as television movie production augmented reality medical visualization communication and so forth. Very often multiple cameras are employed to capture images and videos of the scene at distinct viewpoints. In order to efficiently and effectively process such a large volume of images and videos novel multiple-view image and video processing techniques should be developed. The classical problem of multiple-view vision has been studied by a lot of researchers over the past few decades and numerous solutions have been proposed to tackle the problem under various assumptions and constraints. Early methods developed in the 80s and 90s have laid down the foundations and theories for resolving the multiple-view vision problem. Nonetheless many of these methods lack robustness and work well only under a well-controlled scene . homogeneous lighting wide-baseline viewpoints and texture-rich surface . Recently a number of researchers revisit the multipleview vision problem. Based on the well-developed theories on multiple-view geometry they adopt robust implementations