Description |
1 online resource (xiv, 870 pages) : illustrations |
Series |
Lecture notes in computer science, 0302-9743 ; 5567 |
|
LNCS Sublibrary: SL 6 - Image processing, computer vision pattern recognition and graphics |
|
Lecture notes in computer science ; 5567.
|
Contents |
Scale space and features extraction -- Image enhancement and reconstruction -- Image segmentation and visual grouping -- Motion analysis, optical flow, registration and tracking -- 3D from images -- Poster presentations: Scale space and feature extraction. Image enhancement, reconstruction and texture synthesis. Image segmentation and visual grouping. Motion analysis, optical flow, registration and tracking. 3D from images |
Summary |
This book constitutes the refereed proceedings of the Second International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2009, emanated from the joint edition of the 5th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2009 and the 7th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2009, held in Voss, Norway in June 2009. The 71 revised full papers presented were carefully reviewed and selected numerous submissions. The papers are organized in topical sections on segmentation and detection; image enhancement and reconstruction; motion analysis, optical flow, registration and tracking; surfaces and shapes; scale space and feature extraction |
Bibliography |
Includes bibliographical references and index |
Notes |
Print version record |
Subject |
Computer vision -- Methodology -- Congresses
|
|
Computer vision -- Mathematics -- Congresses
|
|
Image processing -- Digital techniques -- Congresses
|
|
Informatique.
|
|
Image processing -- Digital techniques
|
Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
Form |
Electronic book
|
Author |
Tai, Xue-Cheng.
|
ISBN |
9783642022562 |
|
3642022561 |
|
9788364202254 |
|
8364202251 |
|