3차원 안면자동인식기(3D-AFRA)의 인식도 연구

Accuracy of 3D Automatic Face Recognition Apparatus(3D-AFRA) Recognition

  • 김윤희 (경희대학교 한의과대학 사상체질과) ;
  • 양춘석 ((주)맥써러시) ;
  • 이준희 (경희대학교 한의과대학 사상체질과) ;
  • 정용재 (경희대학교 한의과대학 사상체질과) ;
  • 유정희 (경희대학교 한의과대학 사상체질과) ;
  • 이승현 ((주)맥써러시) ;
  • 고병희 (경희대학교 한의과대학 사상체질과) ;
  • 이의주 (경희대학교 한의과대학 사상체질과)
  • Kim, Yun-Hee (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-hee Univ.) ;
  • Yang, Chun-Seok (Maxuracy. Co., LTD.) ;
  • Lee, Jun-Hee (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-hee Univ.) ;
  • Jung, Yong-Jae (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-hee Univ.) ;
  • Yoo, Jung-Hee (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-hee Univ.) ;
  • Lee, Seung-Hyun (Maxuracy. Co., LTD.) ;
  • Koh, Byung-Hee (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-hee Univ.) ;
  • Lee, Eui-Ju (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, Kyung-hee Univ.)
  • 발행 : 2008.04.30

초록

1. Objectives 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 accuracy of 3D-AFRA recognition. 2. Methods Each scanned pictures were pointed with the 3D Automatic Face Recognition Apparatus(3D-AFRA). And the results were compared with data pointed pictures with manual. And we analysed the difference between Automatic and manual by paired -test. 3. Results and conclusions In frontal face, the P-value was more than 0.05. In conclusion, We assessed that accuracy of recognition of 3D Automatic Face Recognition Apparatus(3D-AFRA) is considerably good. But we should develop methods of measurement for lateral face and indistinct points of frontal face.

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