Pose-Invariant Face Recognition Security System
Hui‐Fuang Ng · 2006
Face recognition security systems have become important for many applications such as automatic access control and video surveillance. Most face recognition security systems today require proper frontal views of a person, and these systems will fail if the person to be recognized does not face the camera correctly. In this paper, we propose a novel approach for robust pose-invariant face recognition. Our recognition system is insensitive to viewing directions and it requires only one sample view per person. The proposed approach utilizes the similarities of a face image against a set of faces from a training set at the same view to establish pose-invariant representations of a person in different poses. Experimental results indicate that the proposed approach achieves high recognition rates even for large pose variations.