Real time facial expression recognition using local binary patterns and linear programming

Authors:
Xiaoyi Feng;Jie Cui;Matti Pietikäinen;Abdenour Hadid
Affiliations:
College of Electronics and Information, Northwestern Polytechnic University, Xi'an, China;College of Electronics and Information, Northwestern Polytechnic University, Xi'an, China;Machine Vision Group, Infotech Oulu and Dept. of Electrical, and Information Engineering, University of Oulu, Finland;Machine Vision Group, Infotech Oulu and Dept. of Electrical, and Information Engineering, University of Oulu, Finland
Venue:
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Year:
2005

Citing 7
Cited 2

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Abstract

In this paper, a fully automatic, real-time system is proposed to recognize seven basic facial expressions (angry, disgust, fear, happiness, neutral, sadness and surprise). First, faces are located and normalized based on an illumination insensitive skin model and face segmentation; then, the Local Binary Patterns (LBP) techniques, which are invariant to monotonic grey level changes, are used for facial feature extraction; finally, the Linear Programming (LP) technique is employed to classify seven facial expressions. Theoretical analysis and experimental results show that the proposed system performs well in some degree of illumination changes and head rotations.