Incorporating corner information for mouth feature extraction

Hua Chun Tan; Yu Jin Zhang

doi:10.1109/ICMLC.2008.4620905

Incorporating corner information for mouth feature extraction

Hua Chun Tan^*, Yu Jin Zhang

^*Corresponding author for this work

Advanced Research Institute of Multidisciplinary Science

Tsinghua University

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

Abstract

Mouth feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it suffers from the problems of local minima and low convergence speed. To fill this gap, in this paper, a new energy function is proposed, which emphasizes on corner information ignored in previous methods. Thus, the energy function can reflect the properties of mouth feature effectively. Experimental results show the new method is robust.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Pages	2909-2913
Number of pages	5
DOIs	https://doi.org/10.1109/ICMLC.2008.4620905
Publication status	Published - 2008
Event	7th International Conference on Machine Learning and Cybernetics, ICMLC - Kunming, China Duration: 12 Jul 2008 → 15 Jul 2008

Publication series

Name	Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Volume	5

Conference

Conference	7th International Conference on Machine Learning and Cybernetics, ICMLC
Country/Territory	China
City	Kunming
Period	12/07/08 → 15/07/08

Keywords

Deformable template
Mouth feature
Tracking ability

Access to Document

10.1109/ICMLC.2008.4620905

Cite this

@inproceedings{a616164a6b5845d9ae8739e9a0a4d859,

title = "Incorporating corner information for mouth feature extraction",

abstract = "Mouth feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it suffers from the problems of local minima and low convergence speed. To fill this gap, in this paper, a new energy function is proposed, which emphasizes on corner information ignored in previous methods. Thus, the energy function can reflect the properties of mouth feature effectively. Experimental results show the new method is robust.",

keywords = "Deformable template, Mouth feature, Tracking ability",

author = "Tan, {Hua Chun} and Zhang, {Yu Jin}",

year = "2008",

doi = "10.1109/ICMLC.2008.4620905",

language = "English",

isbn = "9781424420964",

series = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",

pages = "2909--2913",

booktitle = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",

note = "7th International Conference on Machine Learning and Cybernetics, ICMLC ; Conference date: 12-07-2008 Through 15-07-2008",

}

Tan, HC & Zhang, YJ 2008, Incorporating corner information for mouth feature extraction. in Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC., 4620905, Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC, vol. 5, pp. 2909-2913, 7th International Conference on Machine Learning and Cybernetics, ICMLC, Kunming, China, 12/07/08. https://doi.org/10.1109/ICMLC.2008.4620905

Incorporating corner information for mouth feature extraction. / Tan, Hua Chun; Zhang, Yu Jin.
Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC. 2008. p. 2909-2913 4620905 (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; Vol. 5).

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

TY - GEN

T1 - Incorporating corner information for mouth feature extraction

AU - Tan, Hua Chun

AU - Zhang, Yu Jin

PY - 2008

Y1 - 2008

N2 - Mouth feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it suffers from the problems of local minima and low convergence speed. To fill this gap, in this paper, a new energy function is proposed, which emphasizes on corner information ignored in previous methods. Thus, the energy function can reflect the properties of mouth feature effectively. Experimental results show the new method is robust.

AB - Mouth feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it suffers from the problems of local minima and low convergence speed. To fill this gap, in this paper, a new energy function is proposed, which emphasizes on corner information ignored in previous methods. Thus, the energy function can reflect the properties of mouth feature effectively. Experimental results show the new method is robust.

KW - Deformable template

KW - Mouth feature

KW - Tracking ability

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U2 - 10.1109/ICMLC.2008.4620905

DO - 10.1109/ICMLC.2008.4620905

M3 - Conference contribution

AN - SCOPUS:57849093627

SN - 9781424420964

T3 - Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

SP - 2909

EP - 2913

BT - Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

T2 - 7th International Conference on Machine Learning and Cybernetics, ICMLC

Y2 - 12 July 2008 through 15 July 2008

ER -

Incorporating corner information for mouth feature extraction

Abstract

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Keywords

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