Face Classification via Sparse Approximation
Küçük Resim Yok
Tarih
2011
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer-Verlag Berlin
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
We address the problem of 2D face classification under adverse conditions. Faces are difficult to recognize since they are highly variable due to such factors as illumination, expression, pose, occlusion and resolution. We investigate the potential of a method where the face recognition problem is cast as a sparse approximation. The sparse approximation provides a significant amount of robustness beneficial in mitigating various adverse effects. The study is conducted experimentally using the Extended Yale Face B database and the results are compared against the Fisher classifier benchmark.
Açıklama
COST 2101 European Workshop on Biometrics and Identity Management (BioID) -- MAR 08-10, 2011 -- Brandenburg Univ Appl Sci, Brandenburg, GERMANY
Anahtar Kelimeler
Face Classification, Sparse Approximation, Fisher Classifier, Recognition, Robust, Representation, Illumination
Kaynak
Biometrics and Id Management
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
6583
