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Generalization Abilities of Appearance-Based Subspace Face Recognition Algorithms (CROSBI ID 508982)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Delač, Krešimir ; Grgić, Mislav ; Grgić, Sonja Generalization Abilities of Appearance-Based Subspace Face Recognition Algorithms // Proceedings of the 12th International Workshop on Systems, Signals and Image Processing, IWSSIP 2005 / Karras, Dimitrios A. ; Voliotis, Stamatios ; Rangoussi, Maria et al. (ur.). Ženeva: Inderscience Enterprises Ltd, 2005. str. 271-274-x

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

Povezanost rada

Elektrotehnika