Labeling Problems with Smoothness-Based Priors in Computer Vision: Formulations, Optimizations and Applications - Couverture souple

CHEN, Shifeng

 
9783843376426: Labeling Problems with Smoothness-Based Priors in Computer Vision: Formulations, Optimizations and Applications
Couverture souple
ISBN 10 : 3843376425 ISBN 13 : 9783843376426
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Shifeng Chen, PhD: Studied Information Engineering at The Chinese University of Hong Kong, China. Research assistant professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3843376425
ISBN 13 
9783843376426
Reliure
Broché
Nombre de pages
156
Coordonnées du fabricant
non disponible
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