Commentary on "Experimental Analysis of Face Recognition on from Still Image to Video Image"
暂无分享,去创建一个
Evaluation of face recognition performance under varying illumination, poses, and image degradation due to sensor characteristics has been studied in depth for static images. This paper uses static and video images when evaluating a face recognition algorithm based on ¿Adaptive Principal Components Analysis¿ (APCA). The results show that the same challenges that happen in static images apply to video, and that when multiple images are available the algorithms perform better (e.g. using, mean frames for face recognition).
[1] Brian C. Lovell,et al. Face Recognition Robust to Head Pose from One Sample Image , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[2] Terence Sim,et al. The CMU Pose, Illumination, and Expression (PIE) database , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[3] B. Lovell,et al. Illumination and expression invariant face recognition with one sample image , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..