Eigenphase-based face recognition: a comparison of phase-information extraction methods (CROSBI ID 567305)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ribarić, Slobodan ; Maračić, Marijo
engleski
Eigenphase-based face recognition: a comparison of phase-information extraction methods
Phase information has recently been used quite frequently in the field of face recognition, especially when the facial images are taken under variable illumination conditions. The approach which combines a PCA with the phase information in order to extract the facial features and reduce the dimensionality of the feature space is called eigenphase method. This paper focuses on four modifications to the eigenphase method. The methods differ in terms of their approach to obtaining the phase information from the facial images. The modifications are evaluated on the XM2VTS, Yale and ORL datasets in order to examine their robustness, primarily under variable and normalized illumination conditions and for slightly variable head poses and facial expressions. The results of the experiments are presented and discussed.
face recognition; eigenphase; lighting conditions
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Podaci o prilogu
233-236.
2010.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the Nineteenth International Electrotechnical and Computing Science Conference ERK 2010
Zajc, Baldomir ; Trost, Andrej
Ljubljana: Slovenian Section IEEE
Podaci o skupu
Nineteenth International Electrotechnical and Computing Science Conference ERK 2010
predavanje
20.09.2010-22.09.2010
Portorož, Slovenija