Computer Vision Systems :
Chen, Mei.
Computer Vision Systems : 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013. Proceedings / edited by Mei Chen, Bastian Leibe, Bernd Neumann. - xxii, 366 páginas 182 ilustraciones recurso en línea. - Lecture Notes in Computer Science, 7963 0302-9743 ; .
Springer eBooks
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.
9783642394027
10.1007/9783642394027 doi
QA75.5-76.95
Computer Vision Systems : 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013. Proceedings / edited by Mei Chen, Bastian Leibe, Bernd Neumann. - xxii, 366 páginas 182 ilustraciones recurso en línea. - Lecture Notes in Computer Science, 7963 0302-9743 ; .
Springer eBooks
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.
9783642394027
10.1007/9783642394027 doi
QA75.5-76.95