Discriminant NMFfaces for Frontal Face Verification

Author

Zafeiriou, Stefanos ; Tefas, Anastasios ; Pitas, Ioannis

Author_Institution

Dept. of Informatics, Aristotle Univ. of Thessaloniki

fYear

2005

fDate

28-28 Sept. 2005

Firstpage

355

Lastpage

359

Abstract

In this paper, a novel supervised feature extraction method is presented. The method employs discriminant analysis in the features derived by non-negative matrix factorization (NMF). In this way, a two phase discriminant feature extraction procedure is implemented, namely NMF plus linear discriminant analysis (LDA). The introduced method has been applied to the problem of frontal face verification using the well known XM2VTS database, where a better performance than NMF, eigenfaces and Fisherfaces has been achieved

Keywords

face recognition; feature extraction; image classification; matrix decomposition; discriminant feature extraction; frontal face verification; linear discriminant analysis; nonnegative matrix factorization; supervised feature extraction; Computer vision; Face detection; Face recognition; Feature extraction; Image databases; Informatics; Linear discriminant analysis; Pattern recognition; Principal component analysis; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning for Signal Processing, 2005 IEEE Workshop on

Conference_Location

Mystic, CT

Print_ISBN

0-7803-9517-4

Type

conf

DOI

10.1109/MLSP.2005.1532928

Filename

1532928

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2415231