Review of Technical Approaches to Face Recognition with Varying Pose and Illumination in Unconstrained Scenes

Abstract

Difficulties inherent in human face recognition from unconstrained and motion characterized scenes are usually accounted for due to varying illumination and pose of subjects in the scenes. However, a number of technical approaches have been developed to manage these nuisance factors to make recognition possible and optimal. In this paper, a review of some technical approaches to face recognition challenged with varying illumination and pose is conducted. The logical soundness of each approach and limitations are investigated while a basis for a unified, more efficient and technically optimal approach is established.