DocumentCode :
1923534
Title :
Various decomposition methods applied to face recognition
Author :
Ko, Jaepil ; Kim, Eunju ; Byun, Hyeran
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., South Korea
Volume :
3
fYear :
2003
fDate :
20-24 July 2003
Firstpage :
2175
Abstract :
Face recognition has mainly focused on face representation, so a simple classifier is frequently used. For a robust system, it is common to construct a multiclass classifier by combining outputs of several binary ones. In this paper, we overviews basic decomposition and decoding schemes and propose new methods then give empirical results of recognition performance on the ORL face dataset.
Keywords :
decoding; face recognition; image classification; matrix decomposition; support vector machines; visual databases; decoding; decomposition methods; face dataset; face recognition; matrix decomposition; multiclass classifier; robust system; support vector machines; Computer science; Computer vision; Decoding; Face detection; Face recognition; Kernel; Pattern recognition; Robustness; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-7898-9
Type :
conf
DOI :
10.1109/IJCNN.2003.1223745
Filename :
1223745
Link To Document :
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