Lip contour extraction from color images using a deformable model

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

53 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)2949-2962
Journal / PublicationPattern Recognition
Volume35
Issue number12
Publication statusPublished - Dec 2002

Abstract

The use of visual information from lip movements can improve the accuracy and robustness of a speech recognition system. In this paper, a region-based lip contour extraction algorithm based on deformable model is proposed. The algorithm employs a stochastic cost function to partition a color lip image into lip and non-lip regions such that the joint probability of the two regions is maximized. Given a discrete probability map generated by spatial fuzzy clustering, we show how the optimization of the cost function can be done in the continuous setting. The region-based approach makes the algorithm more tolerant to noise and artifacts in the image. It also allows larger region of attraction, thus making the algorithm less sensitive to initial parameter settings. The algorithm works on unadorned lips and accurate extraction of lip contour is possible. © 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Research Area(s)

  • Deformable model, Lip contour extraction, Lip modeling, Lipreading, Parameter estimation

Citation Format(s)

Lip contour extraction from color images using a deformable model. / Liew, Alan Wee-Chung; Leung, Shu Hung; Lau, Wing Hong.
In: Pattern Recognition, Vol. 35, No. 12, 12.2002, p. 2949-2962.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review