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

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 descr...

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Bibliographic Details
Main Authors: Shojaeilangari, S., Wei-Yun Yau, Jun Li, Eam-Khwang Teoh
Format: Conference Proceeding
Language:English
Subjects:
Conferences
Data mining
emotion recognition
Face
Face recognition
facial expression
Feature extraction
Image edge detection
local binary pattern
phase congruency
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Summary: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.
DOI:10.1109/ICARCV.2012.6485152