It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
To detect faces in natural and unconstrained environments, we propose an approach which combines the advantages of both color and gray scale based methods. The idea consists of fi...
: The emphasis in the published literature has mostly been on symmetry as the critical source for beauty judgment. In fact, both symmetry and asymmetry serve as highly aesthetic so...
Face recognition is a challenging field of research not only because of the complexity of this subject, but also because of its numerous practical applications. Much progress has ...
Walid Riad Boukabou, Lahouari Ghouti, Ahmed Bourid...
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...