A survey on facial expression recognition in 3D video sequences (vol 74, pg 5577, 2015)

被引：1

作者：

Danelakis, Antonios ^{[1
]}

Theoharis, Theoharis ^{[1
,2
]}

Pratikakis, Ioannis ^{[3
]}

机构：

[1] Natl & Kapodistrian Univ Athens, Dept Informat & Telecommun, Athens 11528, Greece

[2] Norwegian Univ Sci & Technol, Dept Comp & Informat Sci, N-7034 Trondheim, Norway

[3] Democritus Univ Thrace, Dept Elect & Comp Engn, Thrace, Greece

来源：

MULTIMEDIA TOOLS AND APPLICATIONS | 2015年 / 74卷 / 15期

关键词：

3D dynamic facial meshes; 3D mesh video; 3D video facial expression recognition;

D O I：

10.1007/s11042-014-2012-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Facial expression recognition constitutes an active research area due to its various applications. This survey addresses methodologies for 3D mesh video facial expression recognition. Recognition is, actually, a special case of intra-class retrieval. The approaches are analyzed and compared in detail. They are primarily categorized according to the 3D dynamic face analysis technique used. In addition, currently available datasets, used for 3D video facial expression analysis, are presented. Finally, future challenges that can be addressed in order for 3D video facial expression recognition field to be further improved, are extensively discussed.

引用

页码：5617 / 5621

页数：5