基于视频的人脸识别研究进展

被引：84

作者：

严严 ^{[1
,2
]}

章毓晋 ^{[1
,2
]}

机构：

[1] 清华大学信息科学与技术国家实验室

[2] 清华大学电子工程系

来源：

计算机学报 | 2009年 / 32卷 / 05期

基金：

高等学校博士学科点专项科研基金;

关键词：

模式识别; 人脸识别; 基于视频的人脸识别; 进展;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

近年来基于视频的人脸识别已成为人脸识别领域最为活跃的研究方向之一.如何充分利用视频中人脸的时间和空间信息克服视频中人脸分辨率低,尺度变化范围大,光照、姿态变化比较剧烈以及时常发生遮挡等困难是研究的重点.文中对近期(主要近5年)基于视频的人脸识别研究进行了详细的介绍和讨论,在对相关方法分类的基础上,分析了各类方法中典型技术的优缺点,并概况介绍了常用的视频人脸数据库和实验结果,最后展望了基于视频人脸识别未来的发展方向和趋势.

引用

页码：878 / 886

页数：9

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