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Multi-view face detection is a challenging problem due to dramatic appearance changes under various pose, illumination and expression conditions. In this paper we consider the problem of multi-view face detection. In this paper detection, It propose to apply Deep Convolutional Neural Networks (DCNN) as the post filter, which is known to be able to extract effective features automatically during learning...
Over the past few years, multi-view face detection issue has become one of the most attractive research topics in the field of computer vision. In this paper, a novel automatic system for multi-view face detection and pose estimation is proposed. Our approach adopts modified appearance-based learning methods to build corresponding face detectors and pose estimators, and detects multi-view faces according...
A novel algorithm to face recognition based on video is presented in this paper. A framework is designed to work for face recognition from video sequence, which is robust to large-scale changes in facial pose and lighting conditions. Two approaches to improve the robustness of the algorithm are presented, a 2D-to-3D face model and self-PCA (principal component analysis) method based on bit-plane feature...
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