A Novel Bayesian Shape Model for Facial Feature Extraction

Zhong Xue, Stau Z. Li, Dinggang Shen, Earn Khwang Teoh

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

2 Scopus citations

Abstract

This paper presents a novel application of the Bayesian Shape Model (BSM) for facial feature extraction. First, a full-face model is designed to describe the shape of a face, and the PCA is used to estimate the shape variance of the face model. Then, the BSM is applied to match and extract the face patch from input face images. Finally, using the face model, the extracted face patches are easily warped or normalized to a standard view. Applications of this facial feature extraction algorithm include face recognition, face video coding and retrieval, face animation and multi-media.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Pages514-519
Number of pages6
StatePublished - Dec 1 2002
EventProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 - Singapore, Singapore
Duration: Dec 2 2002Dec 5 2002

Other

OtherProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002
CountrySingapore
CitySingapore
Period12/2/0212/5/02

ASJC Scopus subject areas

  • Engineering(all)

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