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
收藏
页码：5617 / 5621
页数：5
相关论文
共 50 条
  • [41] Use of 3D faces facilitates facial expression recognition in children
    Wang, Lamei
    Chen, Wenfeng
    Li, Hong
    SCIENTIFIC REPORTS, 2017, 7
  • [42] Facial Expression Recognition Using 3D Convolutional Neural Network
    Byeon, Young-Hyen
    Kwak, Keun-Chang
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2014, 5 (12) : 107 - 112
  • [43] Monocular 3D Facial Expression Features for Continuous Affect Recognition
    Pei, Ercheng
    Oveneke, Meshia Cedric
    Zhao, Yong
    Jiang, Dongmei
    Sahli, Hichem
    IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 23 : 3540 - 3550
  • [44] 3D Facial Expression Recognition Based on Basic Geometric Features
    Li, Xiaoli
    Ruan, Qiuqi
    Ming, Yue
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 1366 - 1369
  • [45] DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition
    Li, Hebeizi
    Yang, Hongyu
    Huang, Di
    2024 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, FG 2024, 2024,
  • [46] 3D Facial Expression Recognition Based on Geometric Feature Fusion
    Wang, Jinwei
    Li, Quan
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (02) : 35 - 41
  • [47] Leveraging 3D blendshape for facial expression recognition using CNN
    Sa Wang
    Zhengxin Cheng
    Xiaoming Deng
    Liang Chang
    Fuqing Duan
    Ke Lu
    Science China Information Sciences, 2020, 63
  • [48] Analysis of Range Images Used in 3D Facial Expression Recognition
    Li, Xiaoli
    Ruan, Qiuqi
    An, Gaoyun
    2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON), 2013,
  • [49] Use of 3D faces facilitates facial expression recognition in children
    Lamei Wang
    Wenfeng Chen
    Hong Li
    Scientific Reports, 7
  • [50] A 3D geometric approach to face detection and facial expression recognition
    Gaeta, Matteo
    Iovane, Gerardo
    Sangineto, Enver
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2006, 9 (01): : 39 - 53
12345