Naslov
Generalization Abilities of Appearance-Based Subspace Face Recognition Algorithms

Autori
Delač, Krešimir ; Grgić, Mislav ; Grgić, Sonja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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, 2005, 271-274

Skup
12th International Workshop on Systems, Signals and Image Processing, IWSSIP 2005

Mjesto i datum
Halkida, Grčka, 22.09.2005. - 24.09.2005

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Face Recognition; PCA; ICA; LDA; FERET; Generalization Abilities

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA