Labeling Problems with Smoothness-Based Priors in Computer Vision
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2010, 2010
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 52.18
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -Many applications in computer vision can be formulated as labeling problems of assigning each pixel a label where the labels represent some local quantities. To improve results of these labeling problems, smoothness-based priors can be enforced in the formulations.Such labeling problems with smoothness-based priors can be solved by minimizing a Markov energy. According to different definitions of the energy functions, different optimization tools can be used to obtain the results. In this book, three optimization approaches are used due to their good performance: graph cuts, belief propagation, and optimization with a closed form solution. Five algorithms in different applications are proposed in this book. All of them are formulated as smoothness based labeling problems, including single image segmentation, video object cutout, image/video completion, image denoising, and image matting. This book should be especially useful to professionals in computer vision fields. 156 pp. Englisch.…
Seller Inventory # 9783843376426
- Title
- Labeling Problems with Smoothness-Based Priors in Computer Vision
- Author
- Shifeng Chen
- Publisher
- LAP LAMBERT Academic Publishing Nov 2010
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3843376425
- ISBN 13
- 9783843376426
- Item weight
- 250 grams
- Dimensions
- 220x150x10 mm
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About the Author
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BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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