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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

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.

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Bibliographic Details
Main Author: Aujol, Jean-François (Author)
Other Authors: Nikolova, Mila (Editor) , Papadakis, Nicolas (Editor)
Format: Conference Paper
Language:English
Published: Cham [u.a.] Springer 2015
Series:Lecture notes in computer science 9087
In: Lecture notes in computer science (9087)

Volumes / Articles: Show Volumes / Articles.
DOI:10.1007/978-3-319-18461-6
Subjects:
Konferenzschrift
Level-Set-Methode
Variationsrechnung
Geometrieverarbeitung
Bildverarbeitung
Rauschunterdrückung
Skalenraum
Merkmalsextraktion
Maschinelles Sehen
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/978-3-319-18461-6
Resolving-System, lizenzpflichtig, Volltext: http://dx.doi.org/10.1007/978-3-319-18461-6
Cover: https://swbplus.bsz-bw.de/bsz430177240cov.jpg
Verlag, Zentralblatt MATH, Inhaltstext: https://zbmath.org/?q=an:1362.68008
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Author Notes:edited by Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
Description
Summary: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 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.
Item Description:Literaturangaben
Physical Description:Online Resource
ISBN:9783319184616
DOI:10.1007/978-3-319-18461-6

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