Motion Compensation for Face Recognition Based on Active Differential Imaging

Abstract

Abstract. Active differential imaging has been proved to be an effective approach to remove ambient illumination for face recognition. In this paper we address the problem caused by motion for a face recognition system based on active differential imaging. A moving face will appear at two different locations in the ambient illumination frame and combined illumination frame and as result artifacts are introduced to the difference face image. An approach based on motion compensation is proposed to deal with this problem. Experiments on moving faces demonstrate that the proposed approach leads to significant improvements in face identification and verification results.

Distributed Compressive Sensing based Near Infrared and Visible Images Fusion for Face Recognition

“…This section assesses the performance of the proposed method by using the near infrared and visible face database from the University of SURREY [16] and Harbin Institute of Technology Shenzhen Graduate School (HITSZ) [17]. In SURREY database, there are 1080 visible face images and 1080 NIR faces of 23 subjects.…”