Title :
Face classification via sparse approximations
Author :
Sönmez, Elena Battini ; Sankur, Bülent ; Albayrak, Songül
Author_Institution :
Bilgisayar Bilimleri Bolumu, Bilgi Univ., İstanbul, Turkey
Abstract :
2D face classification problem is very difficult because of the illumination, pose, expression and occlusion factor. The sparse Representation based classification (SRC) provides a significant amount of robustness against to illumination changes and noise. In this study, sparse approximation is used on face recognition and applied to “Extended Yale Face B” database. Results of sparse approximation classification are compared with Fisher Linear Discriminator.
Keywords :
face recognition; image classification; image representation; 2D face classification problem; Extended Yale Face B database; Fisher linear discriminator; SRC; expression factor; face recognition; illumination changes; illumination factor; occlusion factor; pose factor; sparse approximations; sparse representation-based classification; Conferences; Face; Face recognition; Lighting; Mathematical model; Principal component analysis; Signal processing;
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4577-0462-8
Electronic_ISBN :
978-1-4577-0461-1
DOI :
10.1109/SIU.2011.5929747
