Computer Vision Systems [electronic resource] : 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013. Proceedings / edited by Mei Chen, Bastian Leibe, Bernd Neumann.

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Series: Lecture Notes in Computer Science ; 7963Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XXII, 366 p. 182 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642394027

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Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

004 23

LOC classification:

QA75.5-76.95

Online resources:

Click here to access online

Contents:

Image and video capture -- visual attention and object detection -- self-localization and pose estimation -- motion and tracking -- 3D reconstruction -- features, learning and validation.

In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 9th International Conference on Computer Vision Systems, ICVS 2013, held in St. Petersburg, Russia, July 16-18, 2013. Proceedings. The 16 revised papers presented with 20 poster papers were carefully reviewed and selected from 94 submissions. The papers are organized in topical sections on image and video capture; visual attention and object detection; self-localization and pose estimation; motion and tracking; 3D reconstruction; features, learning and validation.

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eBooks

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Image and video capture -- visual attention and object detection -- self-localization and pose estimation -- motion and tracking -- 3D reconstruction -- features, learning and validation.

This book constitutes the refereed proceedings of the 9th International Conference on Computer Vision Systems, ICVS 2013, held in St. Petersburg, Russia, July 16-18, 2013. Proceedings. The 16 revised papers presented with 20 poster papers were carefully reviewed and selected from 94 submissions. The papers are organized in topical sections on image and video capture; visual attention and object detection; self-localization and pose estimation; motion and tracking; 3D reconstruction; features, learning and validation.