Energy Minimization Methods in Computer Vision and Pattern Recognition

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.

Energy Minimization Methods in Computer Vision and Pattern Recognition features in the following genres: Pattern recognition, Computer vision, Expert systems / knowledge-based systems, Algorithms and data structures, Data mining, Computer hardware

Energy Minimization Methods in Computer Vision and Pattern Recognition is available in Paperback

Energy Minimization Methods in Computer Vision and Pattern Recognition was written by EMMCVPR Conference and published by Springer an imprint of Springer International Publishing

Energy Minimization Methods in Computer Vision and Pattern Recognition has 506 pages

Yes it is part of Lecture Notes in Computer Science series