A Novel Bayesian Shape Model for Facial Feature Extraction

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

A Novel Bayesian Shape Model for Facial Feature Extraction

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Pages	514-519
Number of pages	6
Publication status	Published - 2002
Event	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 - Singapore, Singapore Duration: 2002 Dec 2 → 2002 Dec 5

Publication series

Name	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

Other

Other	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002
Country/Territory	Singapore
City	Singapore
Period	02/12/2 → 02/12/5

ASJC Scopus subject areas

General Engineering

Cite this

A Novel Bayesian Shape Model for Facial Feature Extraction. / Xue, Zhong; Li, Stau Z.; Shen, Dinggang et al.
Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. 2002. p. 514-519 (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Xue, Z, Li, SZ, Shen, D & Teoh, EK 2002, A Novel Bayesian Shape Model for Facial Feature Extraction. in Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, pp. 514-519, Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002, Singapore, Singapore, 02/12/2.

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title = "A Novel Bayesian Shape Model for Facial Feature Extraction",

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.",

author = "Zhong Xue and Li, \{Stau Z.\} and Dinggang Shen and Teoh, \{Earn Khwang\}",

year = "2002",

language = "English",

isbn = "9810474806",

series = "Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002",

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booktitle = "Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002",

note = "Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 ; Conference date: 02-12-2002 Through 05-12-2002",

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AU - Li, Stau Z.

AU - Shen, Dinggang

AU - Teoh, Earn Khwang

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/7744220911

M3 - Conference contribution

AN - SCOPUS:7744220911

SN - 9810474806

SN - 9789810474805

T3 - Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

SP - 514

EP - 519

BT - Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

T2 - Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002

Y2 - 2 December 2002 through 5 December 2002

ER -

A Novel Bayesian Shape Model for Facial Feature Extraction

Abstract

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ASJC Scopus subject areas

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