사상체질의학회지 (Journal of Sasang Constitutional Medicine)

  • 제19권2호
  • /
  • Pages.30-39
  • /
  • 2007
  • /
  • 1226-4075(pISSN)
  • /
  • 2287-786X(eISSN)
사상체질의학회 (The Society Of Sasang Constitutional Medicine)
권호 표지

3차원 안면자동인식기(3D-AFRA)의 Hardware 정밀도 검사 : 형상복원 오차분석

An Hardware Error Analysis of 3D Automatic Face Recognition Apparatus(3D-AFRA) : Surface Reconstruction

  • 석재화 (경희대학교 한의과대학 사상체질과) ;
  • 송정훈 ((주)맥써러시) ;
  • 김현진 ((주)맥써러시) ;
  • 유정희 (경희대학교 한의과대학 사상체질과) ;
  • 곽창규 (경희대학교 한의과대학 사상체질과) ;
  • 이준희 (경희대학교 한의과대학 사상체질과) ;
  • 고병희 (경희대학교 한의과대학 사상체질과) ;
  • 김종원 (동의대학교 한의과대학 사상체질과) ;
  • 이의주 (경희대학교 한의과대학 사상체질과)
  • 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.) ;
  • Yoo, Jung-Hee (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
  • Kwak, Chang-Kyu (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
  • Lee, Jun-Hee (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
  • Kho, Byung-Hee (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.) ;
  • Kim, Jong-Won (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Dong-eui Univ.) ;
  • Lee, Eui-Ju (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-Hee Univ.)
  • 발행 : 2007.08.31
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초록

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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