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Scale Space and Variational Methods in Computer Vision

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Scale Space and Variational Methods in Computer Vision Synopsis

This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision.

About This Edition

ISBN: 9783319587707
Publication date:
Author: François Lauze
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 708 pages
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Genres: Computer vision
Graphics programming
Pattern recognition
Algorithms and data structures
Applied computing
Mathematical theory of computation