Illumination robust face representation based on intrinsic geometrical information
نویسندگان
چکیده
The ability to recognize people is a key element for improving naturalistic human-robot and human-computer interaction systems. In this paper, we propose a binary nonsubsampled contourlet transform (B-NSCT) based illumination robust face representation. Faces are transformed into multi-scale and multi-directional contour information where the intrinsic geometrical structures are used for characterising facial texture. Experiments on the Yale B and CMU PIE databases illustrate that B-NSCT is highly insensitive to illumination variation.
منابع مشابه
Semi-Supervised Half-Quadratic Nonnegative Matrix Factorization for Face Recognition
Face recognition is a challenging problem in computer vision. Difficulties such as slight differences between similar faces of different people, changes in facial expressions, light and illumination condition, and pose variations add extra complications to the face recognition research. Many algorithms are devoted to solving the face recognition problem, among which the family of nonnegative ma...
متن کامل3D Face Recognition Using Range Images
This literature survey will evaluate face recognition algorithms based on range images of human faces. Range images have several advantages over 2D intensity images and 3D meshes. Range images are robust to the change of color and illumination, which causes a significant problem in face recognition using 2D intensity images. Also, 3D information from range images is much easier to utilize than ...
متن کاملAutomatic Face Recognition
This paper describes the activities of the RMA/SIC department in the field of Automatic Face Recognition, involving a frontal, a profile and a surface approach. After outlining the difficulties encountered while looking for robust lightingand pose-invariant features in the frontal face analysis, a prototype for automatic profile identification is presented. This prototype benefits from the simp...
متن کاملImproving Shadow Suppression for Illumination Robust Face Recognition
2D face analysis techniques, such as face landmarking, face recognition and face verification, are reasonably dependent on illumination conditions which are usually uncontrolled and unpredictable in the real world. An illumination robust preprocessing method thus remains a significant challenge in reliable face analysis. In this paper we propose a novel approach for improving lighting normaliza...
متن کاملRobust Face Detection and Tracking for Real-Life Applications
In this paper, we propose a new face detection and tracking algorithm for real-life telecommunication applications, such as video conferencing, cellular phone and PDA. We combine template-based face detection and tracking method with color information to track a face regardless of various lighting conditions and complex backgrounds as well as the race. Based on our experiments, we generate robu...
متن کامل