An adaptive deformable template for mouth boundary modeling

Ali Reza Mirhosseini, Kin Man Lam, Hong Yan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The authors propose an algorithm to automatically extract mouth boundary model in human face images using deformable templates. Our vision algorithm is based on a hierarchical model adaptation scheme. In this paper it will be shown that the role of priori knowledge of the domain is essential for perceptual organization in our algorithm. The knowledge about the shape of the object is used to define its initial deformable template. Each mouth boundary curve is initially formed based on three control points whose locations are found through an optimization process using a suitable cost functional. The cost functional captures the essential knowledge about the shape to perceptually organize image information. Two of the control points are the mouth corners that are primarily located using the priori knowledge of the properties of edge map of the mouth image at its corners. They are used as the initial location of the mouth after an approximate mouth window is found based on locating the head boundary. The model is hierarchically improved in the second stage of the algorithm. Each boundary curve is finely tuned using more control points. An old model is adaptively replaced by a new model only if a secondary cost is further reduced. The results show that model adaptation technique satisfactorily enhances the mouth boundary model in an automated fashion.
Original languageEnglish
Title of host publicationImage Analysis and Processing - 9th International Conference, ICIAP 1997, Proceedings
PublisherSpringer Verlag
Pages559-566
Number of pages8
ISBN (Print)3540635076, 9783540635079
DOIs
Publication statusPublished - 1 Jan 1997
Event9th International Conference on Image Analysis and Processing, ICIAP 1997 - Florence, Italy
Duration: 17 Sep 199719 Sep 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1310
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Image Analysis and Processing, ICIAP 1997
Country/TerritoryItaly
CityFlorence
Period17/09/9719/09/97

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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