Discriminant Subspace Analysis for Uncertain Situation in Facial Recognition
- Publication Type:
- Recent Advances in Face Recognition, 2008, 1, pp. 161 - 182
- Issue Date:
Facial analysis and recognition have received substential attention from researchers in biometrics, pattern recognition, and computer vision communities. They have a large number of applications, such as security, communication, and entertainment. Although a great deal of efforts has been devoted to automated face recognition systems, it still remains a challenging uncertainty problem. This is because human facial appearance has potentially of very large intra-subject variations of head pose, illumination, facial expression, occlusion due to other objects or accessories, facial hair and aging. These misleading variations may cause classifiers to degrade generalization performance.
Please use this identifier to cite or link to this item: