Journal of Sasang Constitutional Medicine (사상체질의학회지)

The Society Of Sasang Constitutional Medicine (사상체질의학회)
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An Positioning Error Analysis of 3D Face Recognition Apparatus

3차원 안면자동인식기의 Positioning 오차분석

  • Kwak, Chang-Kyu (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee University) ;
  • Cho, Yong-Beum (TNTech) ;
  • Sohn, Eun-Hae (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee University) ;
  • Yoo, Jung-Hee (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee University) ;
  • Kho, Byung-Hee (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee University) ;
  • Kim, Jong-Won (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Dongeui University) ;
  • Kim, Kyu-Kon (Dept. of Information Statistics, Dongeui University) ;
  • Lee, Eui-Ju (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee University)
  • 곽창규 (경희대학교 한의과대학 사상체질과) ;
  • 조용범 ((주)TNTech) ;
  • 손은혜 (경희대학교 한의과대학 사상체질과) ;
  • 유정희 (경희대학교 한의과대학 사상체질과) ;
  • 고병희 (경희대학교 한의과대학 사상체질과) ;
  • 김종원 (동의대학교 한의과대학 사상체질과) ;
  • 김규곤 (동의대학교 정보통계학과) ;
  • 이의주 (경희대학교 한의과대학 사상체질과)
  • Published : 2006.08.30
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Abstract

1. Objectives We are going to develope 3D Face Recognition Apparatus to analyse the facial characteristics of the Sasangin. In the process, we should identify the recognition rate of the three dimensional position using this Apparatus. 2. Methods We took a photograph of calibrator($280{\times}400mm$) with interval of 20mm longitudinal direction of 10 times using 3D Face Recognition Apparatus. In the practice, we obtained 967 point to the exclusion of points deviating from the visual field of dual camera. And we made a comparison between measurement values and three dimensional standard values to calculate the errors. 3. Results and Conclusions In this test, the average error rate of X axis values was 0.019% and the maximum error rate of X axis values was 0.033%, the average error rate of Y axis values was 0.025% and the maximum error rate of Y axis values was 0.044%, the average error rate of Z axis values was 0.158% and the maximum error rate of Z axis values was 0.269%. This results exhibit much improvement upon the average error rate 1% and the maximum error rate 2.242% of the existing 3D Recognition Apparatus. In conclusion, we assessed that this apparatus was adaptable to abstract the facial characteristic point from three dimensional face shape in the mechanical aspects.

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