Generalization Abilities of Appearance-Based Subspace Face Recognition Algorithms (CROSBI ID 508982)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Delač, Krešimir ; Grgić, Mislav ; Grgić, Sonja
engleski
Generalization Abilities of Appearance-Based Subspace Face Recognition Algorithms
In this paper we present an efficient method to test the generalization abilities of subspace face recognition algorithms. The main motivation for this work is the lack of detailed analysis of this problem in current literature. Generalization ability of face recognition algorithm is the ability to recognize new individuals, which were not part of the training process. To illustrate our idea we used well-known recognition algorithms (PCA, ICA and LDA) and the FERET date set. Our results show that even these well-known algorithms have poor generalization abilities in some implementations.
Face Recognition; PCA; ICA; LDA; FERET; Generalization Abilities
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Podaci o prilogu
271-274-x.
2005.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 12th International Workshop on Systems, Signals and Image Processing, IWSSIP 2005
Karras, Dimitrios A. ; Voliotis, Stamatios ; Rangoussi, Maria ; Kokkosis, Apostolos
Ženeva: Inderscience Enterprises Ltd
Podaci o skupu
12th International Workshop on Systems, Signals and Image Processing, IWSSIP 2005
predavanje
22.09.2005-24.09.2005
Halkida, Grčka