NDLI: Feature extraction through Binary Pattern of Phase Congruency for facial expression recognition

Content Provider	IEEE Xplore Digital Library
Author	Shojaeilangari, S. Wei-Yun Yau Jun Li Eam-Khwang Teoh
Copyright Year	2012
Description	Author affiliation: Electrical & Electronics Engg, Nanyang Tech. Univ., Singapore (Shojaeilangari, S.; Eam-Khwang Teoh) \|\| Institute for Infocomm Research, A∗star, Singapore (Wei-Yun Yau; Jun Li)
Abstract	Although facial expression plays an important role in human interaction, automated facial expression analysis is still a challenging task. This paper presents a novel facial descriptor based on Phase Congruency (PC) and Local Binary Pattern (LBP) for facial expression recognition. The proposed descriptor, named Binary Pattern of Phase Congruency (BPPC), is an oriented and multi-scale local descriptor that is able to encode various patterns of face images. It is constructed by applying LBP on the oriented PC images. We evaluated the proposed method using the Cohn-Kanade $(CK^{+})$ database. In our experiment, we achieved an overall detection rate of 93.83% for the six basic emotions. This shows the effectiveness of the proposed method.
Starting Page	166
Ending Page	170
File Size	273855
Page Count	5
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485152
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Face recognition Face Conferences Image edge detection Data mining local binary pattern facial expression emotion recognition phase congruency
Content Type	Text
Resource Type	Article

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