Scale Space and Variational Methods in Computer Vision, 2015 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Langue : Anglais
Coordonnateurs : Aujol Jean-François, Nikolova Mila, Papadakis Nicolas
This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2015, held in Lège-Cap Ferret, France, in May 2015. The 56 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in the following topical sections: scale space and partial differential equation methods; denoising, restoration and reconstruction, segmentation and partitioning; flow, motion and registration; photography, texture and color processing; shape, surface and 3D problems; and optimization theory and methods in imaging.
Scale space and partial differential equation methods.- Denoising, restoration and reconstruction, segmentation and partitioning.- Flow, motion and Registration.- Photography, texture and color processing.-Shape, surface and 3D Problems.- Optimization theory and methods in imaging.
Includes supplementary material: sn.pub/extras
Date de parution : 05-2015
Ouvrage de 716 p.
15.5x23.5 cm
Thèmes de Scale Space and Variational Methods in Computer Vision :
Mots-clés :
Computer graphics; Computer vision; Computer vision problems; Contextual enhancement; Feature selection; Image processing; Image segmentation; Lie groups; Mathematical optimization; Minimal surface problem; MPEG decompression; Nonlinear eigenfunctions; Partial differential equations; Registration; Semantic scene understanding; Shape modeling; Spectral total variation; Surface approximation; Texture synthesis; Variational methods
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