Ebook: Dynamical Vision: ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers
- Genre: Science (General) // International Conferences and Symposiums
- Tags: Image Processing and Computer Vision, Pattern Recognition, Computer Graphics, User Interfaces and Human Computer Interaction
- Series: Lecture Notes in Computer Science 4358 : Image Processing Computer Vision Pattern Recognition and Graphics
- Year: 2007
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
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Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a tra?c scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, ?re, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol. The goal of the International Workshop on Dynamical Vision (WDV) is to converge di?erent aspects of the research on dynamical vision and to identify common mathematical problems, models, and methods for future research in this emerging and active area.
This book constitutes the thoroughly refereed joint post-proceedings of the first two International Workshops on Dynamical Vision, WDV 2005 and WDV 2006 held in Beijing, China in October 2005 within the scope of ICCV 2005 and in Graz, Austria in May 2006 in the course of ECCV 2006.The 24 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address a wide range of theoretical and application issues in dynamical vision and are organized in topical sections on motion segmentation and estimation, human motion analysis, dynamic textures, motion tracking, rigid and non-rigid motion analysis, as well as motion filtering and vision-based control.