Abstract. Face recognition under varying pose is a challenging problem, especially when illumination variations are also present. Under Lambertian model, spherical harmonics repres...
We present a new approach to robust pose-variant face
recognition, which exhibits excellent generalization ability
even across completely different datasets due to its weak
depe...
John Wright (University of Illinois), Gang Hua (Mi...
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...
Researchers in psychology have well studied the impact of the pose of a face as perceived by humans, and concluded that the so-called 3/4 view, halfway between the front view and ...
We present a novel approach to address the representation issue and the matching issue in face recognition (verification). Firstly, our approach encodes the micro-structures of t...