Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17855
Title: An incremental learning algorithm for face recognition
Authors: Déniz Suárez, Oscar
Castrillón, M. 
Lorenzo, J. 
Hernández, M. 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 2002
Journal: Lecture Notes in Computer Science 
Conference: International Workshop on Biometric Authentication, ECCV 2002 
Abstract: In face recognition, where high-dimensional representation spaces are generally used, it is very important to take advantage of all the available information. In particular, many labelled facial images will be accumulated while the recognition system is functioning, and due to practical reasons some of them are often discarded. In this paper, we propose an algorithm for using this information. The algorithm has the fundamental characteristic of being incremental. On the other hand, the algorithm makes use of a combination of classification results for the images in the input sequence. Experiments with sequences obtained with a real person detection and tracking system allow us to analyze the performance of the algorithm, as well as its potential improvements.
URI: http://hdl.handle.net/10553/17855
ISSN: 0302-9743
DOI: 10.1007/3-540-47917-1_1
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2359 LNCS, p. 1-9
Appears in Collections:Actas de congresos
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