In this paper, we propose a new polynomial based texture representation method for extracting information about facial expressions. While many appearance-based methods have been proposed over the years to improve the performance of facial expression recognition, most descriptors are usually unable to both provide precise multi-scale / multi-orientation analysis and handle the redundancy problem effectively. We will explain how coefficients obtained from polynomial projections of pixel intensities on a complete basis can be used for compact, hierarchical image approximation and structural analysis. We have tested our approach on two publicly available databases and achieved encouraging results comparable to the state of the art.

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