Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/1758
Title: | Face exemplars selection from video streams for online learning | Authors: | Castrillon-Santana, M. Déniz Suárez, Oscar Lorenzo-Navarro, J. Hernandez-Tejera, M. |
UNESCO Clasification: | 120304 Inteligencia artificial | Keywords: | Reconocimiento facial Informática |
Issue Date: | 2005 | Journal: | Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 | Conference: | 2nd Canadian Conference on Computer and Robot Vision 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 |
Abstract: | This paper tackles the problem of online acquisition of exemplars for dynamic updating of classifiers for facial analysis. Most facial analysis systems apply a previously computed classifier to a set of images, or recently to the output of real-time face detection systems. Here we describe an approach to select significant detected faces during interactive sessions in order to learn and modify online, with the initial\r\nhelp of an expert, a classifier for a given task. Preliminary experiments are reported related to gender recognition. | URI: | http://hdl.handle.net/10553/1758 | ISBN: | 0-7695-2319-6 9780769523194 |
DOI: | 10.1109/CRV.2005.41 | Source: | Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 (1443147), p. 314-321 |
Appears in Collections: | Actas de congresos |
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