Variational, Geometric, and Level Set Methods in Computer Vision

Lingua: inglese

Editore: Springer, Springer Okt 2005, 2005

3540293485 / 9783540293484

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This item is printed on demand - Print on Demand Titel. Neuware -Mathematical methods has been a dominant research path in computational vision leading to a number of areas like ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geometric ows or through the minimization of problem-driven cost functions where their lowest potential corresponds to image understanding. The 3rd IEEE Workshop on Variational, Geometric and Level Set Methods focused on these novel mathematical techniques and their applications to c- puter vision problems. To this end, from a substantial number of submissions, 30 high-quality papers were selected after a fully blind review process covering a large spectrum of computer-aided visual understanding of the environment. The papers are organized into four thematic areas: (i) Image Filtering and Reconstruction, (ii) Segmentation and Grouping, (iii) Registration and Motion Analysis and (iiii) 3D and Reconstruction. In the rst area solutions to image enhancement, inpainting and compression are presented, while more advanced applications like model-free and model-based segmentation are presented in the segmentation area. Registration of curves and images as well as multi-frame segmentation and tracking are part of the motion understanding track, while - troducing computationalprocessesinmanifolds,shapefromshading,calibration and stereo reconstruction are part of the 3D track. We hope that the material presented in the proceedings exceeds your exp- tations and will in uence your research directions in the future. We would like to acknowledge the support of the Imaging and Visualization Department of Siemens Corporate Research for sponsoring the Best Student Paper Award.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch.

Codice articolo 9783540293484

Titolo
Variational, Geometric, and Level Set Methods in Computer Vision
Autore
Nikos Paragios
Editore
Springer, Springer Okt 2005
Anno di pubblicazione
2005
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
3540293485
ISBN 13
9783540293484
Peso dell'articolo
581 grammi
Dimensioni
235x155x21 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

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ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
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