Landmark Localization in Occluded Faces Using Deep Learning Approach

Detecting and localizing facial landmark in occluded faces is a challenging problem for face landmark detection in computer vision. The challenge turns to be more difficult when the occlusion is high where most of the face is veiled. High occluded faces landmark localization is an ongoing research gap which motivates more accurate and highly efficient solutions. This paper presents a review of recent advances in facial landmark detection and localization, discusses available datasets and investigates the influence of occlusion on the accuracy, performance, and robustness on landmark detection. It outlines existing challenges in dealing with and controlling of occlusion.