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KMID : 0878220070190020030
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Journal of Sasang Constitutional Medicine
2007 Volume.19 No. 2 p.30 ~ p.39
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An Hardware Error Analysis of 3D Automatic Face Recognition Apparatus(3D-AFRA) : Surface Reconstruction
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Seok Jae-Hwa
Song Jung-Hoon
Kim Hyun-Jin
Yoo Jung-Hee
Kwak Chang-Kyu
Lee Jun-Hee
Koh Byung-Hee
Kim Jong-Won
Lee Eui-Ju
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Abstract
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1.Objectives The Face is an important standard for the classification of Sasang Constitution. We are developing 3D Automatic Face Recognition Apparatus(3D-AFRA) to analyse the facial characteristics. This apparatus show us 3D image and data of man’s face and measure facial figure data. So we should examine the figure restoration error of 3D Automatic Fare Recognition Apparatus(3D-AFRA) in hardware Error Analysis.
2.Methods We scanned Face status by using 3D Automatic Face Recognition Apparatus(3D-AFRA). And also we scanned Face status by using laser scanner(vivid 9i). We compared facial shape data be restored by 3D Automatic Face Recognition Apparatus(3D-AFRA) with facial shape data that be restorated by 3D laser scanner. And we analysed the average error and the maximum error of two data.
3.Results and Conclusions In frontal face, the average error was 0.48mm. and the maximum error was 4.60mm. In whole face, the average error of was 0.99mm. And the maximum error was 6.64mm. In conclusion, We assessed that accuracy of 3D Automatic Face Recognition Apparatus(3D-AFRA) is considerably good.
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KEYWORD
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Face Recognition, 3 Dimension, Sasang Constitutional Medicine (SCM)
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