본문 바로가기
  • Home

An Positioning Error Analysis of 3D Face Recognition Apparatus

  • Journal of Sasang Constitutional Medicine
  • Abbr : J Sasang Constitut Med
  • 2006, 18(2), pp.34-40
  • Publisher : The Society Of Sasang Constitutional Medicine
  • Research Area : Medicine and Pharmacy > Korean Medicine

곽창규 1 Koh Byung-Hee 1 Eui Ju Lee 1 Kim Jong Won 2 Kim Kyu Kon 2 조용범 3 손은혜 1 유정희 1

1경희대학교
2동의대학교
3티엔테크

Candidate

ABSTRACT

An Positioning Error Analysis of 3D Face Recognition Apparatus Kwak Chang-Kyu*, Cho Yong-Beum**, Sohn Eun-Hae*, Yoo Jung-Hee*, Kho Byung-Hee*, Kim Jong-Won†, Kim Kyu-Kon‡, Lee Eui-Ju* *Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee University, **TNTech †Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Dongeui University ‡Dept. of Infomation Statistics, Dongeui University 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(280×400mm) 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.

Citation status

* References for papers published after 2022 are currently being built.