Tracking facial feature points with Gabor wavelets and shape models

Stephen J. McKenna, Shaogang Gong, Rolf P. Würtz, Jonathan Tanner, Daniel Banin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

47 Citations (Scopus)

Abstract

A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many applications in facial analysis, the approach can be used for tracking other textured objects.

Original languageEnglish
Title of host publicationAudio- and Video-based Biometric Person Authentication - 1st International Conference, AVBPA 1997, Proceedings
EditorsJosef Bigun, Gerard Chollet, Gunilla Borgefors
PublisherSpringer Verlag
Pages35-42
Number of pages8
ISBN (Print)3540626603, 9783540626602
DOIs
Publication statusPublished - 1 Jan 1997
Event1st International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 1997 - Crans-Montana, Switzerland
Duration: 12 Mar 199714 Mar 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1206
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 1997
CountrySwitzerland
CityCrans-Montana
Period12/03/9714/03/97

Keywords

  • Feature point
  • Shape model
  • Gabor wavelet
  • Facial motion
  • Face shape

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  • Cite this

    McKenna, S. J., Gong, S., Würtz, R. P., Tanner, J., & Banin, D. (1997). Tracking facial feature points with Gabor wavelets and shape models. In J. Bigun, G. Chollet, & G. Borgefors (Eds.), Audio- and Video-based Biometric Person Authentication - 1st International Conference, AVBPA 1997, Proceedings (pp. 35-42). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1206). Springer Verlag. https://doi.org/10.1007/BFb0015977