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Scale Space and Variational Methods in Computer Vision [electronic resource] : 5th International Conference, SSVM 2015, L�ege-Cap Ferret, France, May 31 - June 4, 2015, Proceedings / edited by Jean-Fran�cois Aujol, Mila Nikolova, Nicolas Papadakis.

Contributor(s): Aujol, Jean-Fran�cois [editor.] | Nikolova, Mila [editor.] | Papadakis, Nicolas [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9087Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XV, 716 p. 235 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319184616.Subject(s): Computer science | Computers | Algorithms | Computer graphics | Image processing | Pattern recognition | Computer Science | Image Processing and Computer Vision | Computer Graphics | Pattern Recognition | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Computation by Abstract DevicesAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2015, held in L�ege-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.
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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.

This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2015, held in L�ege-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.

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