Presentation | 2007-09-04 Automatic Facial Midline Detection and Its Impact on Facial Feature Extraction Nozomi NAKAO, Wataru OHYAMA, Tetsushi WAKABAYASHI, Fumitaka KIMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a novel approach for detection of the facial midline from a frontal face image. Using midline as a guide reduces computational cost required for facial feature extraction (FFE) because the midline is capable of restricting multi-dimensional searching process into one-dimensional search. The proposed method detects the facial midline from an edge image as the symmetry axis using the generalized Hough transformation. Experimental results on the FERET database indicate that the proposed algorithm can accurately detect facial midlines over many different scales and rotation. The total computational time for facial feature extraction has been reduced by a factor of 280 using the midline detected by this method. |
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Paper # | PRMU2007-69,HIP2007-78 |
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Committee | PRMU |
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Conference Date | 2007/8/27(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Automatic Facial Midline Detection and Its Impact on Facial Feature Extraction |
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1st Author's Name | Nozomi NAKAO |
1st Author's Affiliation | Graduate School of Engineering, Mie University() |
2nd Author's Name | Wataru OHYAMA |
2nd Author's Affiliation | Graduate School of Engineering, Mie University |
3rd Author's Name | Tetsushi WAKABAYASHI |
3rd Author's Affiliation | Graduate School of Engineering, Mie University |
4th Author's Name | Fumitaka KIMURA |
4th Author's Affiliation | Graduate School of Engineering, Mie University |
Date | 2007-09-04 |
Paper # | PRMU2007-69,HIP2007-78 |
Volume (vol) | vol.107 |
Number (no) | 206 |
Page | pp.pp.- |
#Pages | 6 |
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