A lip contour extraction method using localized active contour model with automatic parameter selection

Xin Liu*, Yiu Ming CHEUNG, Meng Li, Hailin Liu

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

23 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages4332-4335
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: 23 Aug 201026 Aug 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference2010 20th International Conference on Pattern Recognition, ICPR 2010
Country/TerritoryTurkey
CityIstanbul
Period23/08/1026/08/10

Scopus Subject Areas

  • Computer Vision and Pattern Recognition

User-Defined Keywords

  • Lip contour extraction
  • Localized active contour model
  • Localized energy
  • Minimum-bounding ellipse

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