| Video-Based Face Recognition: State of the Art | |
Zhaoxiang Zhang ; Chao Wang; Yunhong Wang
| |
| 2011-12-03 | |
| Conference Name | Chinese Conference on Biometric Recognition |
| Source Publication | CCBR 2011 |
| Conference Date | 3-4 December 2011 |
| Conference Place | Beijing, China |
| Abstract | Face recognition in videos is a hot topic in computer vision and biometrics over many years. Compared to traditional face analysis, video based face recognition has advantages of more abundant information to improve accuracy and robustness, but also suffers from large scale variations, low quality of facial images, illumination changes, pose variations and occlusions. Related to applications, we divide the existing video based face recognition approaches into two categories: video-image based methods and video-video based methods, which are surveyed and analyzed in this paper. |
| Keyword | Face Recognition Video Survey |
| Document Type | 会议论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/13242 |
| Collection | 类脑智能研究中心 |
| Corresponding Author | Zhaoxiang Zhang |
| Recommended Citation GB/T 7714 | Zhaoxiang Zhang,Chao Wang,Yunhong Wang. Video-Based Face Recognition: State of the Art[C],2011. |
| Files in This Item: | There are no files associated with this item. | |||||
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