DocumentCode :
2648041
Title :
Robust face recognition by wavelet features and model adaptation
Author :
Lin, Jie ; Li, Jian-ping ; Ji, Ming
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu
Volume :
4
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1638
Lastpage :
1643
Abstract :
In this paper a face recognition algorithm based on multiscale wavelet representations and model adaptation is proposed. The models used in this work are from linear associative memory method and fast compensated in simulated testing phase by adoptively learning from the given simulated testing data. The proposed adaptation algorithm is incremental. It has low time and space complexity. Through compensating models with simulated testing data, this method can efficiently reduce the mismatch between training and testing data, substantially improving the performance of classifier. The new recognition method was tested using two widely used face datasets, including MIT-CBCL face database and Olivetti Research Laboratory (ORL) face database. Results indicate that our algorithm is effective. And duo to the computational simplicity, our algorithm is also efficient.
Keywords :
computational complexity; face recognition; stability; wavelet transforms; MIT-CBCL face database; Olivetti Research Laboratory face database; linear associative memory method; model adaptation; multiscale wavelet representations; robust face recognition; simulated testing data; space complexity; wavelet features; Adaptation model; Associative memory; Computational modeling; Data mining; Face recognition; Facial features; Pattern recognition; Robustness; Testing; Wavelet analysis; compensation; face recognition; model adaptation; wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421715
Filename :
4421715
Link To Document :
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