Multi-template ASM method for feature points detection of facial image with diverse expressions

Ying Li*, J. H. Lai, Pong Chi YUEN

*Corresponding author for this work

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

14 Citations (Scopus)

Abstract

This paper proposed a multi-template ASM algorithm addressing facial feature points detection under nonlinear shape variation of facial images with various kinds of expression. By adding texture information, adopting asymmetric sampling strategy for the feature points on outer contour of face, building multiple templates and integrating local ASM and global ASM, experimental results show that the proposed multi-template ASM algorithm outperforms traditional single template ASM.

Original languageEnglish
Title of host publicationFGR 2006
Subtitle of host publicationProceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Pages435-440
Number of pages6
DOIs
Publication statusPublished - 2006
EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
Duration: 10 Apr 200612 Apr 2006

Publication series

NameFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Volume2006

Conference

ConferenceFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
Country/TerritoryUnited Kingdom
CitySouthampton
Period10/04/0612/04/06

Scopus Subject Areas

  • Engineering(all)

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