Title :
Adaptive Supervised Discriminant Projection
Author :
Chen Caikou ; Hou Yu
Author_Institution :
Coll. of Inf. & Eng., Yangzhou Univ., Yangzhou, China
Abstract :
Considering the weakness of Unsupervised Discriminant Projection (UDP), a novel feature extraction algorithm, termed Adaptive Supervised Discriminant Projection Analysis (ASDP), is proposed in the paper. The proposed algorithm does not only integrate a kind of dynamic feedback mechanism into construction of scatter matrices but also make full use of the class label information. The experimental results on AR and FERET face databases show the proposed method is more effective than some existing feature extraction methods such as UDP, LDA, etc.
Keywords :
face recognition; feature extraction; AR face databases; FERET face databases; LDA; UDP; adaptive supervised discriminant projection analysis; class label information; dynamic feedback mechanism; novel feature extraction algorithm; scatter matrices; unsupervised discriminant projection; Algorithm design and analysis; Face; Face recognition; Feature extraction; Heuristic algorithms; Nickel; Principal component analysis; Dynamic Feedback; Face Recognition; Feature Extraction; Unsupervised Discriminant Projection;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768