DocumentCode :
2550788
Title :
Slowly Feature Analysis of Gabor Feature for Face Recognition
Author :
Gao, Jian-bin ; Li, Jian-ping ; Xia, Qi
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
13-15 Dec. 2008
Firstpage :
177
Lastpage :
180
Abstract :
Obtaining invariant representation of time varying signals is one of the major problems in object recognition. Recently, a new method that slowly feature analysis (SFA) which can extract invariant features of temporally varying signals is being explored, which is an extension of independent component analysis (ICA) which has been used for extracting facial feature. The technique of SFA can be extended to the field of face recognition easily. The Gabor feature face images exhibit strong characteristics of spatial locality, scale, and orientation selectivity. Theses images can produce pronounced local feature that are most suitable for face recognition. SFA would further reduce redundancy and represent slowly varying features explicitly. These slowly varying features are most useful for subsequent pattern discrimination and associative recall. Making use of the slowly feature method, in this paper, we propose a new face recognition algorithm based on Gabor face feature and slowly varying feature analysis. Results indicate that our algorithm is effective and competitive.
Keywords :
Gabor filters; face recognition; feature extraction; image representation; independent component analysis; object recognition; Gabor feature; Gabor filter; face recognition; facial feature extraction; independent component analysis; invariant time varying signal representation; object recognition; slowly feature analysis; Computer science; Face recognition; Feature extraction; Filter bank; Frequency; Gabor filters; Image restoration; Independent component analysis; Principal component analysis; Signal analysis; Face Recognition; Gabor feature; Principal Component Analysis (PCA); Slow Feature Analysis (SFA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
Type :
conf
DOI :
10.1109/ICACIA.2008.4769999
Filename :
4769999
Link To Document :
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