DocumentCode :
2640907
Title :
Feature Extraction for Face Image Retrieval
Author :
Conilione, Paul C. ; Wang, Dianhui
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, VIC
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
546
Lastpage :
546
Abstract :
The aim of this paper is to examine the Eigenpaxel and commonly used Gabor wavelet filter in terms of distinguishing capability and robustness with respect to 12 types of variation of a neutral expression frontal face image for retrieval.
Keywords :
Gabor filters; eigenvalues and eigenfunctions; face recognition; feature extraction; image retrieval; wavelet transforms; Gabor wavelet filter; eigenpaxel feature extraction; face image retrieval; Computer science; Feature extraction; Finite impulse response filter; Image databases; Image retrieval; Information retrieval; Principal component analysis; Robustness; Shape measurement; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.278
Filename :
4603735
Link To Document :
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