@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",
}