A rotation-invariant facial expression recognition algorithm using localized eyes and local binary pattern

Authors:
Xinguo Yu;Jun Li;Liyuan Li
Affiliations:
Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore
Venue:
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Year:
2011

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Abstract

This paper presents a rotation-invariant expression recognition algorithm that uses both localized eyes and local binary pattern (LBP) feature for SVM. This is a complete algorithm from the image input of cameras to the output of the facial expression recognition. It first localizes the eyes and then uses the localized eyes to rotate the face into upright face to achieve the rotation-invariant. It also uses the localized eyes to calculate the face box, whereas most of the existing algorithms use the face box acquired by the face detection algorithms. The experimental results show that the face boxes calculated from eye locations can improve the performance of expression recognition.