Presentation | 2003/11/14 A Deformable Template Matching Based Face Recognition System using Prior Information on Facial Expressions Atsushi MATSUI, Simon CLIPPINGDALE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We introduce two statistical models to handle deformation of input faces due to facial expression for the face recognition using deformable template matching. These models utilize a covariance matrix of feature point locations, and linear approximation of each correlation between variation of node locations and Gabor wavelet coefficients. We carried out an evaluation on a test set of 10 persons in 3 conditions; "neutral", "smiling", and "talking". The result shows that our new models successfully reduce ID-error-rate from 47.2% to 36.7% on the "smiling" data, and do from 24.2% to 15.6% on the "talking" data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Face Recognition / Deformable Template Matching / Facial Expressions / Variance Covariance Matrix |
Paper # | PRMU2003-161,HIP2003-67 |
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Committee | HIP |
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Conference Date | 2003/11/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Deformable Template Matching Based Face Recognition System using Prior Information on Facial Expressions |
Sub Title (in English) | |
Keyword(1) | Face Recognition |
Keyword(2) | Deformable Template Matching |
Keyword(3) | Facial Expressions |
Keyword(4) | Variance Covariance Matrix |
1st Author's Name | Atsushi MATSUI |
1st Author's Affiliation | Science & Technical Research Laboratories, Japan Broadcasting Corporation() |
2nd Author's Name | Simon CLIPPINGDALE |
2nd Author's Affiliation | Science & Technical Research Laboratories, Japan Broadcasting Corporation |
Date | 2003/11/14 |
Paper # | PRMU2003-161,HIP2003-67 |
Volume (vol) | vol.103 |
Number (no) | 455 |
Page | pp.pp.- |
#Pages | 5 |
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