Share Email Print

Proceedings Paper

Extraction and estimation of facial expression by means of wavelet decomposition and active shape template
Author(s): Yung-Sheng Chen; Hang-Ping Kuo
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

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.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441491
Show Author Affiliations
Yung-Sheng Chen, Yuan Ze Univ. (Taiwan)
Hang-Ping Kuo, Yuan Ze Univ. (Taiwan)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?