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

  • Journal of Sasang Constitutional Medicine
  • Abbr : J Sasang Constitut Med
  • 2007, 19(2), pp.30-39
  • Publisher : The Society Of Sasang Constitutional Medicine
  • Research Area : Medicine and Pharmacy > Korean Medicine

석재화 1 Koh Byung-Hee 1 Kim Jong Won 2 Eui Ju Lee 1 송정훈 3 김현진 3 유정희 1 곽창규 1 이준희 1

1경희대학교
2동의대학교
3㈜맥써러시

Candidate

ABSTRACT

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 Face 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.

Citation status

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