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 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
Conference Date 2007/8/27(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Automatic Facial Midline Detection and Its Impact on Facial Feature Extraction
Sub Title (in English)
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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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