This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and e...
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determine...
Paola Campadelli, Raffaella Lanzarotti, C. Savazzi
In this paper a completely automatic face recognition system is presented. The method works on color images: after having localized the face and the facial features, it determines...