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Computer Vision - ECCV 2012: Lecture Notes in Computer Science

Editat de Andrew Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
en Limba Engleză Paperback – 31 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: 9783642337857
ISBN-10: 3642337856
Pagini: 512
Ilustrații: XXII, 490 p. 205 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 kg
Ediția:2012
Editura: Springer
Seria Lecture Notes in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

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Research

Cuprins

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.- image 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.

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