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Accurate facial parts localization and deep learning for 3D facial expression recognition

  • Asim Jan
  • , Huaxiong Ding
  • , Hongying Meng
  • , Liming Chen
  • , Huibin Li
  • Brunel University London
  • LIRIS UMR5205

科研成果: 书/报告/会议事项章节会议稿件同行评审

43 引用 (Scopus)

摘要

Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and 2D texture appearance cues of the face which are beneficial for Facial Expression Recognition (FER). However, accurate facial parts extraction as well as their fusion are challenging tasks. In this paper, a novel system for 3D FER is designed based on accurate facial parts extraction and deep feature fusion of facial parts. Experiments are conducted on the BU-3DFE database, demonstrating the effectiveness of combing different facial parts, texture and depth cues and reporting the state-of-the-art results in comparison with all existing methods under the same setting.

源语言英语
主期刊名Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
出版商Institute of Electrical and Electronics Engineers Inc.
466-472
页数7
ISBN(电子版)9781538623350
DOI
出版状态已出版 - 5 6月 2018
活动13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 - Xi'an, 中国
期限: 15 5月 201819 5月 2018

出版系列

姓名Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018

会议

会议13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
国家/地区中国
Xi'an
时期15/05/1819/05/18

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