Expression Recognition with Appearance Based Features of Facial Landmarks

Abstract

In this paper, Local Binary Patterns (LBP) is used for Facial Expression Recognition (FER). The concept of LBP is based on the information that is present in color images of face. Multi-linear image analysis can be done in different color spaces using LBP and it can be seen that the color content gives additional information about faces which can lead to an efficient FER. Using LBP, the components present in various color spaces such as RGB, YCbCr and CIELuv or CIELab, are made into two dimensional binary’s using multi-linear algebra and concepts of binary’s and then Log-Gabor filters are used to extract these features. For the selection of the features, mutual information quotients method is used. Multiclass linear discriminate analysis classifiers are used to classify the features that were extracted.