Department of Computer Science
A lip contour extraction method using localized active contour model with automatic parameter selection
Lip contour extraction is crucial to the success of a lipreading system. This paper presents a lip contour extraction algorithm using localized active contour model with the automatic selection of proper parameters. The proposed approach utilizes a minimum-bounding ellipse as the initial evolving curve to split the local neighborhoods into the local interior region and the local exterior region, respectively, and then compute the localized energy for evolving and extracting. This method is robust against the uneven illumination, rotation, deformation, and the effects of teeth and tongue. Experiments show its promising result in comparison with the existing methods. © 2010 IEEE.
Lip contour extraction, Localized active contour model, Localized energy, Minimum-bounding ellipse
Source Publication Title
Proceedings: 2010 20th International Conference on Pattern Recognition
Link to Publisher's Edition
Liu, X., Cheung, Y., Li, M., & Liu, H. (2010). A lip contour extraction method using localized active contour model with automatic parameter selection. Proceedings: 2010 20th International Conference on Pattern Recognition, 4332-4335. https://doi.org/10.1109/ICPR.2010.1053