DocumentCode :
1566239
Title :
Face Recognition based on PCA and Multi-degree of Freedom Neurons
Author :
Shoujue, Wang ; Xingxing, Liu ; Wenming, Cao
Author_Institution :
Inst. of Semicond., Chinese Acad. of Sci., Beijing
Volume :
3
fYear :
2005
Firstpage :
1494
Lastpage :
1497
Abstract :
An algorithm of PCA face recognition based on multi-degree of freedom neurons theory is proposed, which based on the sample sets\´ topological character in the feature space which is different from "classification". Compare with the traditional PCA+NN algorithm, experiments prove its efficiency
Keywords :
face recognition; neural nets; principal component analysis; face recognition; freedom neurons theory; neural networks; principal component analysis; topological character; Artificial neural networks; Covariance matrix; Eyes; Face recognition; Fingerprint recognition; Laboratories; Neurons; Principal component analysis; Space technology; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614914
Filename :
1614914
Link To Document :
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