Biometric Technology for Human Identification, SPIE International Symposium on Defense and Security, 28 March-1 April 2005, Orlando, USA / Also published in SPIE 5779, 256 (2005)
In this article, we evaluate the effectiveness of a pre-classification scheme for the fast retrieval of faces in a large image database. The studied approach is based on a partitioning of the face space through a clustering of face images. Mainly two issues are discussed. How to perform clustering with a non-trivial probabilistic measure of similarity between faces? How to assign face images to all clusters probabilistically to form a robust characterization vector? It is shown experimentally on the FERET face database that, with this simple approach, the cost of a search can be reduced by a factor 6 or 7 with no significant degradation of the performance.
Type:
Conférence
City:
Orlando
Date:
2005-03-28
Department:
Sécurité numérique
Eurecom Ref:
1552
Copyright:
© 2005 Society of Photo-Optical Instrumentation Engineers.
This paper is published in Biometric Technology for Human Identification, SPIE International Symposium on Defense and Security, 28 March-1 April 2005, Orlando, USA / Also published in SPIE 5779, 256 (2005) and is made available as an electronic preprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
This paper is published in Biometric Technology for Human Identification, SPIE International Symposium on Defense and Security, 28 March-1 April 2005, Orlando, USA / Also published in SPIE 5779, 256 (2005) and is made available as an electronic preprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
See also:
