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

Huiquan Zhang, Osamu Yoshie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Title of host publicationSNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Pages121-126
Number of pages6
DOIs
Publication statusPublished - 2013 Oct 28
Event14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013 - Honolulu, HI, United States
Duration: 2013 Jul 12013 Jul 3

Publication series

NameSNPD 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
CountryUnited States
CityHonolulu, HI
Period13/7/113/7/3

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Keywords

  • Local Binary Pattern
  • facial expression recognition
  • local facial feature
  • pseudo 3D face model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Zhang, H., & Yoshie, O. (2013). A fusion approach for facial expression using local binary pattern and a pseudo 3D face model. In SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (pp. 121-126). [6598455] (SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing). https://doi.org/10.1109/SNPD.2013.15