| 書目名稱 | Variational, Geometric, and Level Set Methods in Computer Vision | | 副標題 | Third International | | 編輯 | Nikos Paragios,Olivier Faugeras,Christoph Schn?rr | | 視頻video | http://file.papertrans.cn/981/980634/980634.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | Mathematical methods has been a dominant research path in computational vision leading to a number of areas like ?ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geometric ?ows or through the minimization of problem-driven cost functions where their lowest potential corresponds to image understanding. The 3rd IEEE Workshop on Variational, Geometric and Level Set Methods focused on these novel mathematical techniques and their applications to c- puter vision problems. To this end, from a substantial number of submissions, 30 high-quality papers were selected after a fully blind review process covering a large spectrum of computer-aided visual understanding of the environment. The papers are organized into four thematic areas: (i) Image Filtering and Reconstruction, (ii) Segmentation and Grouping, (iii) Registration and Motion Analysis and (iiii) 3D and Reconstruction. In the ?rst area solutions to image enhancement, inpainting and compression are presented, while more advanced applications like model-free and model-based segmentation are presented in | | 出版日期 | Conference proceedings 2005 | | 關(guān)鍵詞 | 3D modeling; 3D vision; Active contour; Computer Vision; Image segmentation; Mapping; Shading; Stereo; Textu | | 版次 | 1 | | doi | https://doi.org/10.1007/11567646 | | isbn_softcover | 978-3-540-29348-4 | | isbn_ebook | 978-3-540-32109-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2005 |
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