Person Independent Facial Expression Recognition Using 3D Facial Feature Positions

Conference paper

Abstract

Facial expressions contain a lot of information about the feelings of a human. They play an important role in human–computer interaction. In this paper, we propose a person independent facial expression recognition algorithm based on 3-Dimensional (3D) geometrical facial feature positions to classify the six basic expressions of the face: Anger, disgust, fear, happiness, sadness and surprise. The algorithm is tested on BU-3DFE database and provides encouraging recognition rates.

Keywords

Facial expression analysis Facial expression recognition Facial feature selection Face biometrics 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Computer Engineering DepartmentCyprus International UniversityLefkosaTurkey
  2. 2.Electrical and Electronic Engineering DepartmentEastern Mediterranean UniversityGazimağusaTurkey

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