사상체질의학회지 (Journal of Sasang Constitutional Medicine)
- 제19권2호
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- Pages.22-29
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- 2007
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- 1226-4075(pISSN)
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- 2287-786X(eISSN)
3차원 안면자동분석 사상체질진단기의 Hardware 오차분석
An Error Analysis of the 3D Automatic Face Recognition Apparatus (3D-AFRA) Hardware
- 곽창규 (경희대학교 한의과대학 사상체질과) ;
- 석재화 (경희대학교 한의과대학 사상체질과) ;
- 송정훈 ((주)맥써러시) ;
- 김현진 ((주)맥써러시) ;
- 황민우 (경희대학교 한의과대학 사상체질과) ;
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유정희
(경희대학교 한의과대학 사상체질과) ;
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고병희
(경희대학교 한의과대학 사상체질과) ;
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김종원
(동의대학교 한의과대학 사상체질과) ;
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이의주
(경희대학교 한의과대학 사상체질과)
- Kwak, Chang-Kyu (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
- Seok, Jae-Hwa (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
- Song, Jung-Hoon (Maxuracy. Co., LTD.) ;
- Kim, Hyun-Jin (Maxuracy. Co., LTD.) ;
- Hwang, Min-Woo (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
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Yoo, Jung-Hee
(Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
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Kho, Byung-Hee
(Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
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Kim, Jong-Won
(Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Dong-eui Univ.) ;
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Lee, Eui-Ju
(Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.)
- 발행 : 2007.08.31
초록
1. Objectives Sasang Contitutional Medicine, a part of the traditional Korean medical lore, treats illness through a constitutional typing system that categorizespeople into four constitutional types. A few of the important criteria for differentiating the constitutional types are external appearances, inner state of mind, and pathological patterns. We had been developing a 3D Automatic Face Recognition Apparatus (3D-AFRA) in order to evaluate the external appearances with more objectivity. This apparatus provides a 3D image and numerical data on facial configuration, and this study aims to evaluate the mechanical accuracy of the 3D-AFRA hardware. 2. Methods Several objects of different shapes (cube, cylinder, cone, pyramid) were each scanned 10 times using the 3D Automatic Face Recognition Apparatus (3D-AFRA). The results were then compared and analyzed with data retrieved through a laser scanner known for its high accuracy. The error rates were analyzed for each grid point of facial contour scanned with Rapidform2006 (Rapidform2006 is a 3D scanning software that collects grid point data for contours of various products and products and product parts through 3D scanners and other 3D measuring devices; the grid point data thusly acquired is then used to reconstruct highly precise polygon and curvature models). 3. Results and Conclusions The average error rate was 0.22mm for the cube, 0.22mm for the cylinder, 0.125mm for the cone, and 0.172mm for the pyramid. The visual data comparing error rates for measurement figures retrieved with Rapidform2006 is shown in