Integrated Computer-Aided Engineering
Expression recognition method of image sequence in audio-video
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Expression recognition using elastic graph matching
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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Automatic facial expression recognition for novel individuals from static images is a challenge task to pattern analysis research community. In this paper, we present an effective method for this task. We analyze seven basic expressions: angry, disgust, fear, happiness, neutral, sadness and surprise. First, the Local Binary Pattern (LBP) operator is used to extract face appearance features. Then a two-stage classification method is proposed. At the first (coarse classification) stage, two expression candidates from initial seven are selected. At the second (fine classification) stage, one of the two candidate classes is verified as final expression class. Our algorithm is tested on the JAFFE database and promising results are obtained.