Journal of Sasang Constitutional Medicine (사상체질의학회지)
- Volume 18 Issue 3
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- Pages.57-63
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- 2006
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- 1226-4075(pISSN)
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- 2287-786X(eISSN)
Precision Test of 3D Face Automatic Recognition Apparatus(3D-FARA) by Rotation
3차원 안면 자동 인식기(3D-FARA)의 안면 위치변화에 따른 정확도 검사
- Seok, Jae-Hwa (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee Univ.) ;
- Cho, Kyung-Rae (TNTech) ;
- Cho, Yong-Beum (TNTech) ;
- Yoo, Jung-Hee (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee Univ.) ;
- Kwak, Chang-Kyu (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee Univ.) ;
- Lee, Soo-Kyung (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee Univ.) ;
- Kho, Byung-Hee (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee Univ.) ;
- Kim, Jong-Won (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Dongeui Univ.) ;
- Kim, Kyu-Kon (Dept. of Infomation Statistics, Dongeui Univ.) ;
- Lee, Eui-Ju (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee Univ.)
- 석재화 (경희대학교 한의과대학 사상체질과) ;
- 조경래 ((주)TNTech) ;
- 조용범 ((주)TNTech) ;
- 유정희 (경희대학교 한의과대학 사상체질과) ;
- 곽창규 (경희대학교 한의과대학 사상체질과) ;
- 이수경 (경희대학교 한의과대학 사상체질과) ;
- 고병희 (경희대학교 한의과대학 사상체질과) ;
- 김종원 (동의대학교 한의과대학 사상체질과) ;
- 김규곤 (동의대학교 정보통계학과) ;
- 이의주 (경희대학교 한의과대학 사상체질과)
- Published : 2006.12.30
Abstract
1. Objectives The Face is an important standard for the classification of Sasang Contitutions. Now We are developing 3D Face Automatic Recognition Apparatus to analyse the facial characteristics. This apparatus show us 3D image of man's face and measure facial figure. We should examine accuracy of position recognition in 3D Face Automatic Recognition Apparatus. 2. Methods We took a photograph of Face status with Land Mark 8 times using Face Automatic Recognition Apparatus. Each taking-photo, We span Face statusby 10 degree. At last time, We took a photograph of Face status's lateral face. And We analysed Error Averige of Distance between seven Land Marks. So We examined the accuracy of position recognition in 3D Face Automatic Recognition Apparatus at indirectly in degree changing of Face status. 3. Results and Conclusions According to degree change of Face status, Error Averige of Distance between Seven Land Marks is 0.1848mm. In conclusion, We assessed that accuracy of position recognition in 3D Face Automatic Recognition Apparatus is considerably good in spite of degree changing of Face status