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Titolo: | Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings / / edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Edizione: | 1st ed. 2015. |
Descrizione fisica: | 1 online resource (X, 506 p. 179 illus.) : online resource |
Disciplina: | 006.42 |
Soggetto topico: | Pattern recognition |
Computer software—Reusability | |
Optical data processing | |
Algorithms | |
Data mining | |
Pattern Recognition | |
Performance and Reliability | |
Image Processing and Computer Vision | |
Algorithm Analysis and Problem Complexity | |
Data Mining and Knowledge Discovery | |
Persona (resp. second.): | TaiXue-Cheng |
BaeEgil | |
ChanTony F | |
LysakerMarius | |
Note generali: | Includes index. |
Nota di contenuto: | Discrete and continuous optimization -- Image restoration and inpainting -- Segmentation -- PDE and variational methods -- Motion, tracking and multiview reconstruction -- Statistical methods and learning -- Medical image analysis. |
Sommario/riassunto: | This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis. |
Titolo autorizzato: | Energy Minimization Methods in Computer Vision and Pattern Recognition |
ISBN: | 3-319-14612-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996198835103316 |
Lo trovi qui: | Univ. di Salerno |
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