Video-Based Face Recognition: State of the Art

被引：0
|
作者：
Zhang, Zhaoxiang [1 ]
Wang, Chao [1 ]
Wang, Yunhong [1 ]
机构：
[1] Beihang Univ, Sch Comp Sci & Engn, Beijing Key Lab Digital Media, Lab Intelligent Recognit & Image Proc, Beijing, Peoples R China
来源：
BIOMETRIC RECOGNITION: CCBR 2011 | 2011年 / 7098卷
关键词：
Face recognition; video; survey; VISUAL TRACKING;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：1 / 9
页数：9
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