A novel Bayesian shape model for facial feature extraction

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

doi:10.1109/ICARCV.2002.1234878

A novel Bayesian shape model for facial feature extraction

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

Academic Institute

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

3 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 language	English (US)
Title of host publication	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Publisher	Nanyang Technological University
Pages	514-519
Number of pages	6
ISBN (Print)	9810483643, 9789810483647
DOIs	https://doi.org/10.1109/ICARCV.2002.1234878
State	Published - 2002
Event	7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 - Marine Mandarin, Singapore Duration: Dec 2 2002 → Dec 5 2002

Publication series

Name	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Volume	3

Conference

Conference	7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Country/Territory	Singapore
City	Marine Mandarin
Period	12/2/02 → 12/5/02

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICARCV.2002.1234878

Cite this

Xue, Z., Li, S. Z., Shen, D., & Teoh, E. K. (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 (pp. 514-519). (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002; Vol. 3). Nanyang Technological University. https://doi.org/10.1109/ICARCV.2002.1234878

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. Nanyang Technological University, 2002. p. 514-519 (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002; Vol. 3).

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, vol. 3, Nanyang Technological University, pp. 514-519, 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, Marine Mandarin, Singapore, 12/2/02. https://doi.org/10.1109/ICARCV.2002.1234878

Xue Z, Li SZ, Shen D, Teoh EK. A novel Bayesian shape model for facial feature extraction. In Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. Nanyang Technological University. 2002. p. 514-519. (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002). doi: 10.1109/ICARCV.2002.1234878

Xue, Zhong ; Li, Stau Z. ; Shen, Dinggang et al. / A novel Bayesian shape model for facial feature extraction. Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. Nanyang Technological University, 2002. pp. 514-519 (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002).

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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\}",

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

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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.

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A novel Bayesian shape model for facial feature extraction

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