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Computer Vision - ECCV 2012

Editat de Andrew Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
en Limba Engleză Paperback – 30 aug 2012
The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.
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Specificații

ISBN-13: 9783642337086
ISBN-10: 3642337082
Pagini: 916
Ilustrații: XXIV, 889 p. 396 illus.
Dimensiuni: 155 x 235 x 49 mm
Greutate: 1.36 kg
Ediția:2012
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

Cuprins

Poster session.- Geometry: theory and application.- Learning and large-scale recognition.- Detection and attributes.- Actions and activities.- MRFs and early vision.- Geometry and recognition.- Lights, action.- Semantic segmentation.

Textul de pe ultima copertă

The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Caracteristici

Up to date results Fast track conference proceedings State of the art research