Computer vision analysis of image motion by variational methods / Amar Mitiche and J. K. Aggarwal.
Material type:
TextSeries: Springer topics in signal processingPublication details: Switzerland : Springer, 2014Description: vii, 207 p. ; ill. (some color)ISBN: - 9783319007106
- 23 M684 621.367
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 621.367 M684 (Browse shelf(Opens below)) | Available | 135540 |
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| 621.367 M377 Image technology design | 621.367 M637 Super-resolution imaging | 621.367 M684 Variational and level set methods in image segmentation | 621.367 M684 Computer vision analysis of image motion by variational methods / | 621.367 M716 Curvature scale space representation | 621.367 M741 Morphological network: network with morphological neurons/ | 621.367 M953 Image and video processing in the compressed domain / |
Includes bibliographical references and index.
1. Image motion processing in visual function--
2. Background preliminaries--
3. Optical flow estimation--
4. Motion detection--
5. Tracking--
6. Optical flow three-dimensional interpretation--
Index.
This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables.
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