Title :
Improving Face Recognition Performance Using RBPCA MaxLike and Information Fusion
Author :
Salvadeo, Denis H P ; Mascarenhas, Nelson D A ; Moreira, Jander ; Levada, Alexandre L M ; Corrêa, Débora C.
Author_Institution :
Fed. Univ. of Sao Carlos, São Carlos, Brazil
Abstract :
Face recognition is typically an ill-posed problem because of the limited number of available samples. As experimental results show, combining multiclassifier fusion with the RBPCA MaxLike approach, which couples covariance matrix regularization and block-based principal component analysis (BPCA), can provide an effective framework for face recognition that alleviates the small sample size problem.
Keywords :
covariance matrices; face recognition; image classification; image fusion; principal component analysis; RBPCA MaxLike approach; block-based principal component analysis; covariance matrix regularization; face recognition; information fusion; multiclassifier fusion; Artificial neural networks; Covariance matrix; Databases; Face recognition; Feature extraction; Principal component analysis; Face recognition; block-based PCA; covariance matrix regularization; maximum likelihood; multiclassifier fusion; principal component analysis; scientific computing; security and privacy;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2010.142
