An Efficient Local Feature-Based Facial Expression Recognition System

被引：0
|
作者：
Md. Zia Uddin
机构：
[1] Sungkyunkwan University,Department of Computer Education
来源：
Arabian Journal for Science and Engineering | 2014年 / 39卷
关键词：
Depth image; Facial expressions; Local directional patterns (LDPs); Hidden Markov models (HMMs);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a novel approach to recognizing certain facial expressions using time-sequential depth videos is proposed. Local directional pattern features are extracted from time-sequential depth faces. Robust local features are then applied with hidden Markov models for successfully obtaining facial expressions. The proposed approach shows superior recognition performance compared to conventional approaches.
引用
收藏
页码：7885 / 7893
页数：8
相关论文
共 50 条
  • [31] Facial expression recognition Based on Feature Fusion
    Jian, Chen
    FIFTH INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION, 2020, 11526
  • [32] Research on facial feature-based gender intelligent recognition based on the Adaboost algorithm
    Wang, Jing
    INTERNATIONAL JOURNAL OF BIOMETRICS, 2021, 13 (01) : 40 - 50
  • [33] Facial Expression Recognition Based on Local Facial Regions
    Nan, Zhang
    Xue, Geng
    2011 IET 4TH INTERNATIONAL CONFERENCE ON WIRELESS, MOBILE & MULTIMEDIA NETWORKS (ICWMMN 2011), 2011, : 262 - 265
  • [34] On Constrained Local Model Feature Normalization for Facial Expression Recognition
    Pan, Zhenglin
    Polceanu, Mihai
    Lisetti, Christine
    INTELLIGENT VIRTUAL AGENTS, IVA 2016, 2016, 10011 : 369 - 372
  • [35] Fusion of global and local various feature for facial expression recognition
    Li, H. (hbli@ysu.edu.cn), 1600, Chinese Optical Society (34):
  • [36] A feature-based hierarchical speech recognition system for Hindi
    K Samudravijaya
    R Ahuja
    N Bondale
    T Jose
    S Krishnan
    P Poddar
    xxPVS Rao
    R Raveendran
    Sadhana, 1998, 23 : 313 - 340
  • [37] Feature-based hierarchical speech recognition system for Hindi
    Samudravijaya, K.
    Ahuja, R.
    Bondale, N.
    Jose, T.
    Krishnan, S.
    Poddar, P.
    Rao, P.V.S.
    Raveendran, R.
    Sadhana - Academy Proceedings in Engineering Sciences, 1998, 23 (pt 4): : 313 - 340
  • [38] A feature-based hierarchical speech recognition system for Hindi
    Samudravijaya, K
    Ahuja, R
    Bondale, N
    Jose, T
    Krishnan, S
    Poddar, P
    Rao, PVS
    Raveendran, R
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 1998, 23 (4): : 313 - 340
  • [39] Scheming an Efficient Facial Recognition System Using Global and Random Local Feature Extraction Methods
    Sharifi, Omid
    Eskandari, Maryam
    Yildiz, Mithat Cagri
    2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 12 - 17
  • [40] Research on the Facial expression feature extraction of facial expression recognition based on MATLAB
    Ju, Wang
    Rui, Ding
    Nie, Chunyan
    MODERN TECHNOLOGIES IN MATERIALS, MECHANICS AND INTELLIGENT SYSTEMS, 2014, 1049 : 1522 - 1525
12345