High-boost Weber local filter for precise eye localization under uncontrolled scenarios

Abstract

The task of precise eye localization for a given face is very important for many computer vision applications such as face recognition, face and eye tracking, and face alignment. Further, this is a challenging task when performed in uncontrolled scenarios. This paper proposes a new method for precise eye localization in uncontrolled scenarios using the high-boost Weber local filter (HBWLF); the proposed filter emphasizes high-frequency components, without eliminating the low-frequency ones, and thus enhances the details of the periocular region (region around the eyes), which is critical to the task of eye localization. The proposed method was evaluated using Labeled Faces in the Wild (LFW) and BioID databases, and the results show that HBWLF yields better performance than several classical methods.