Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...
Wonjun Hwang, Gyu-tae Park, Jong Ha Lee, Seok-Cheo...
Abstract. We present a fast and robust iterative method for interpreting face images under non-uniform lighting conditions by using a fitting algorithm which utilizes an illuminat...
Salvador E. Ayala-Raggi, Leopoldo Altamirano Roble...
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...