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Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings: Lecture Notes in Computer Science, cartea 8932

Editat de Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
en Limba Engleză Paperback – 18 dec 2014
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.
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Specificații

ISBN-13: 9783319146119
ISBN-10: 3319146114
Pagini: 516
Ilustrații: X, 506 p. 179 illus.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.72 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.