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