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...
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed algorithm aims to improve automatic landmarking ...
In most of the automatic face classification applications, images should be captured in natural environments, where partial occlusions or high local changes in the illumination a...
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces...
The eyes are the most important facial landmarks on human face. The accuracy of face normalization, which is critical to the performance of the following face analysis steps, depe...