Journal of Sasang Constitutional Medicine (사상체질의학회지)

The Society Of Sasang Constitutional Medicine (사상체질의학회)
권호 표지

A Software Error Examination of 3D Automatic Face Recognition Apparatus(3D-AFRA) : Measurement of Facial Figure Data

3차원 안면자동인식기(3D-AFRA)의 Software 정밀도 검사 : 형상측정프로그램 오차분석

  • 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.)
  • 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)
  • Published : 2007.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

1. Objectives The Face is an important standard for the classification of Sasang Constitutions. 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 Measurement of Facial Figure data error of 3D Automatic Face Recognition Apparatus(3D-AFRA) in Software Error Analysis. 2. Methods We scanned face status by using 3D Automatic Face Recognition Apparatus(3D-AFRA). And we measured lengths Between Facial Definition Parameters of facial figure data by Facial Measurement program. 2.1 Repeatability test We measured lengths Between Facial Definition Parameters of facial figure data restored by 3D-AFRA by Facial Measurement program 10 times. Then we compared 10 results each other for repeatability test. 2.2 Measurement error test We measured lengths Between Facial Definition Parameters of facial figure data by two different measurement program that are Facial Measurement program and Rapidform2006. At measuring lengths Between Facial Definition Parameters, we uses two measurement way. The one is straight line measurement, the other is curved line measurement. Then we compared results measured by Facial Measurement program with results measured by Rapidform2006. 3. Results and Conclusions In repeatability test, standard deviation of results is 0.084-0.450mm. And in straight line measurement error test, the average error 0.0582mm, and the maximum error was 0.28mm. In curved line measurement error test, the average error 0.413mm, and the maximum error was 1.53mm. In conclusion, we assessed that the accuracy and repeatability of Facial Measurement program is considerably good. From now on we complement accuracy of 3D-AFRA in Hardware and Software.

Keywords