NDLI: A Fusion Approach for Facial Expression Using Local Binary Pattern and a Pseudo 3D Face Model

Content Provider	IEEE Xplore Digital Library
Author	Huiquan Zhang Yoshie, O.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Inf., Waseda Univ., Kitakyushu, Japan (Huiquan Zhang; Yoshie, O.)
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%.
Sponsorship	IEEE Comput. Soc.
Starting Page	121
Ending Page	126
File Size	1671178
Page Count	6
File Format	PDF
ISBN	9780769550053
DOI	10.1109/SNPD.2013.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Local Binary Pattern Solid modeling Three-dimensional displays Image color analysis local facial feature Face recognition Feature extraction pseudo 3D face model Face facial expression recognition Facial features
Content Type	Text
Resource Type	Article

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