Adaptive Supervised Discriminant Projection

Author

Chen Caikou ; Hou Yu

Author_Institution

Coll. of Inf. & Eng., Yangzhou Univ., Yangzhou, China

fYear

2011

fDate

22-24 July 2011

Firstpage

3306

Lastpage

3309

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2011 30th Chinese

Conference_Location

Yantai

ISSN

1934-1768

Print_ISBN

978-1-4577-0677-6

Electronic_ISBN

1934-1768

Type

conf

Filename

6001573

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=551228