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Record Nr. |
UNISA996207293003316 |
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Titolo |
Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings / / edited by Jean-François Aujol, Mila Nikolova, Nicolas Papadakis |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (XV, 716 p. 235 illus.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 9087 |
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Disciplina |
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Soggetti |
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Optical data processing |
Computer graphics |
Pattern recognition |
Algorithms |
Application software |
Computers |
Image Processing and Computer Vision |
Computer Graphics |
Pattern Recognition |
Algorithm Analysis and Problem Complexity |
Information Systems Applications (incl. Internet) |
Computation by Abstract Devices |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer |
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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. |
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