An active shape model using genetic algorithm for facial feature extraction

Kwok Wai Wan, Kin Man Lam, Kit Chong Ng

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

1 Citation (Scopus)

Abstract

The Active Shape Model (ASM) has been used successfully to extract the facial features of a face image under frontal view. However, its performance degrades when the face concerned is under perspective variations. In this paper, a modified active shape model is proposed which can represent a face more flexibly under different orientations. The model of the eyes, nose and mouth, and the model of the face contour are separated. An energy function is defined that links up these two representations of a human face. Three models are employed to represent the important facial features under different poses. The genetic algorithm (GA) is applied to search for the best representation of face images. Experiments show that our proposed model can achieve a better performance in representing face images under different perspective variations and facial expressions than the conventional ASM can.
Original languageEnglish
Title of host publication2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages109-112
Number of pages4
Publication statusPublished - 1 Dec 2004
Event2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong
Duration: 20 Oct 200422 Oct 2004

Conference

Conference2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Country/TerritoryHong Kong
CityHong Kong, China
Period20/10/0422/10/04

ASJC Scopus subject areas

  • Engineering(all)

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