Presentation 2006-12-14
Facial Feature Land-marking with Optimized Gabor Parameters based on Maximization of Separation between Features
Fan CHEN, Kazunori KOTANI,
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Abstract(in English) Elastic Bunch Graph Matching (EBGM) is a popular method in automatic localization of facial feature points, where the selection of optimal Gabor parameters plays a key role in the extraction of Gabor jets with a high degree of discrimination. We propose a method for the selection of parameters by minimizing the energy function consisting of within-class and between-class scatters using the gradient descendent method. We formulate the learning rule and design the algorithm for the learning of parameters. Numerical experiments have been performed to investigate the performance of estimated parameters in improving the precision of automatic localization.
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Paper # CS2006-57,IE2006-125
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Committee IE
Conference Date 2006/12/7(1days)
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Language ENG
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Title (in English) Facial Feature Land-marking with Optimized Gabor Parameters based on Maximization of Separation between Features
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1st Author's Name Fan CHEN
1st Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology()
2nd Author's Name Kazunori KOTANI
2nd Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
Date 2006-12-14
Paper # CS2006-57,IE2006-125
Volume (vol) vol.106
Number (no) 423
Page pp.pp.-
#Pages 6
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