Abstract
AbstractFace identification and verification have received more attention in biometric person authentication as their non-invasive, broad useful, and user-friendly. In the Face Authentication Test (FAT2004) held in conjunction with the 17th International Conference on Pattern Recognition, Tsinghua University won the Awards of Best Overall Performance Face Verification Algorithm. In this paper, we will discuss about some problems about improving the face recognition performance. Imitating human face identification through discriminating the face observation is very important for face recognition. Key technologies for distinguishing persons based on face appearances of different position, size, illumination, pose and age: face detection, feature location, size and grey level of face appearance normalization. Also, feature extraction and classification should be the focuses of face recognition research. Dealing with 3D pose variation and aging is the most difficult problem and needs more attention to obtain better face recognition performance.
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