Extraction and estimation of facial expression by means of wavelet decomposition and active shape template
Yung‐Sheng Chen, Hang-Ping Kuo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
This paper presents an automatic approach for extracting a face and estimating the facial expression from a gray image. To improve the execution time and the tolerance degree, the technique of wavelet decomposition is used in our approach for feature extraction. The main steps of the proposed approach are as follows. First, each input image is preprocessed with normalization, which includes translation, rotation, scaling, and light source adjustment. Secondly, the wavelet decomposition transform is applied to making image into different levels, and the information extracted from these levels is used to estimate the face region with a template-matching method. Finally, the facial expression is estimated from the found face region by using the technique of active shape template. Experimental results have confirmed the feasibility of the proposed approach.