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Scale Space and Variational Methods in Computer Vision : 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings / edited by Jean-François Aujol, Mila Nikolova, Nicolas Papadakis.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Aujol, Jean-Francȯis, Editor.
Nikolova, Mila, Editor.
Papadakis, Nicolas, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 9087
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 9087
Language:
English
Subjects (All):
Computer vision.
Computer graphics.
Pattern recognition systems.
Algorithms.
Application software.
Computer science.
Computer Vision.
Computer Graphics.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Theory of Computation.
Local Subjects:
Computer Vision.
Computer Graphics.
Automated Pattern Recognition.
Algorithms.
Computer and Information Systems Applications.
Theory of Computation.
Physical Description:
1 online resource (XV, 716 pages) : 235 illustrations
Edition:
1st ed. 2015.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
System Details:
text file PDF
Summary:
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-319-18461-6
9783319184616
Access Restriction:
Restricted for use by site license.

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