A fusion approach for facial expression using local binary pattern and a pseudo 3D face model

Huiquan Zhang, Osamu Yoshie

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The discovery of association between local facial feature and regional feature of image for recognizing facial expression is one of the current challenges in the regard of facial expression recognition. In this paper, we propose an approach fusing different complementary methods that can facilitate recognition of facial expression by exploring the knowledge on the face. The approach incorporates the joint work of Local Binary Pattern to extract the holistic facial area for recognizing facial expression. To deal with regional feature of face, a pseudo 3Dface model is established for segmenting facial regions. Final, a propagation method is introduced to recognize the facial expression. Unlike many previous studies, the presented approach recognizes expressions from regional feature instead of holistic facial features or complete texture information. In order to validate our proposed approach, we have conducted experiments on the Extended Cohn-Kanade (CK+) facial expression database with an recognition rate of 91.7%.

本文言語English
ホスト出版物のタイトルSNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
ページ121-126
ページ数6
DOI
出版ステータスPublished - 2013 10 28
イベント14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013 - Honolulu, HI, United States
継続期間: 2013 7 12013 7 3

出版物シリーズ

名前SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Conference

Conference14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013
国/地域United States
CityHonolulu, HI
Period13/7/113/7/3

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア

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