3차원 안면자동인식기의 형상복원 오차검사

Abstract

An Error Examination of 3D Face Automatic Recognition Suk Jae-Hwa*, Cho Kyung-Rae**, Cho Yong-Beum**, Yoo Jung-Hee*, Kwak Chang-Kyu*, Lee Soo-Kyung*, Kho Byung-Hee*, Kim Jong-Won†, Kim Kyu-Kon‡, Lee Eui-Ju* *Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Kyung Hee University, **TNTec, †Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Dongeui University, ‡Dept. of Infomation Statistics, Dongeui University 1. Objectives The Face is an important standard for the classification of Sasang Contitutions. We are developing 3D Face Automatic Recognition Apparatus to analyse the facial characteristics. So We should examine a shape demobilization error of 3D Face Automatic Recognition Apparatus. 2. Methods We compared facial shape data be demobilized by 3D Face Automatic Recognition Apparatus with facial shape data that be demobilized by 3D laser scanner. The subject was two korean men. And We analysed the average error and the maximum error of two data. In this process, We used one datum point(the peak of nose) and two datum line(vertical section and horizontal section). 3. Results and Conclusions In each this comparison, the average error of vertical section was 1.962574mm and 2.703814mm. and the maximum error of vertical section was 16.968249mm and 18.61464mm. the average error of horizontal section was 4.173203mm and 21.487479mm. and the maximum error of horizontal section was 3.571210mm and 17.13255mm. Also We complemented this apparatus a little and We reexamined a shape demobilization error of 3D Face Automatic Recognition Apparatus again. Accuracy of a shape demobilization was improved a little. From now on We complement accuracy of a shape demobilization in 3D Face Recognition Apparatus.