Review of Technical Approaches to Face Recognition with Varying Pose and Illumination in Unconstrained Scenes
Temitayo Matthew Fagbola, Stephen Olatunde Olabiyisi, Funmilola Egbetola, Ayodele Oloyede · FUOYE Journal of Engineering and Technology · 2017
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.