CASIA OpenIR  > 类脑智能研究中心
Video-Based Face Recognition: State of the Art
Zhaoxiang Zhang; Chao Wang; Yunhong Wang
2011-12-03
Conference NameChinese Conference on Biometric Recognition
Source PublicationCCBR 2011
Conference Date3-4 December 2011
Conference PlaceBeijing, China
AbstractFace 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.
KeywordFace Recognition Video Survey
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13242
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Zhaoxiang Zhang,Chao Wang,Yunhong Wang. Video-Based Face Recognition: State of the Art[C],2011.
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