Title :
Discriminant NMFfaces for Frontal Face Verification
Author :
Zafeiriou, Stefanos ; Tefas, Anastasios ; Pitas, Ioannis
Author_Institution :
Dept. of Informatics, Aristotle Univ. of Thessaloniki
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;
Conference_Titel :
Machine Learning for Signal Processing, 2005 IEEE Workshop on
Conference_Location :
Mystic, CT
Print_ISBN :
0-7803-9517-4
DOI :
10.1109/MLSP.2005.1532928
