3차원 안면자동인식기(3D-FARA)의 Hardware 오차분석

Abstract

A Hardware Error Analysis of 3D Face Automatic Recognition Apparatus(3D-FARA) 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 Univ. *TNTech, Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Dongeui Univ. †Dept. of Information Statistics, Dongeui Univ. 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 a Hardware Error Analysis of this Apparatus. 2. Methods We verified The resolution, the repetition ability, the Flatness and the Cylindericity of 3D Face Recognition Apparatus by measuring a triangular pyramid, an exact square pillar and a cylinder. 3. Results and Conclusions In this test, The resolution of 3D-FARA was 0.0368mm×0.0594mm×0.2748mm(X×Y×Z), the repetition ability was 0.1187mm, the Flatness was 0.17188mm. the Flatness of triangular pyramid was 1.39034mm and the Cylindericity of cylinder was 3.1306mm. In conclusion, If we use 3D-FARA, It is necessary to complement the site of top of the nose and the outline of face, which is likely to occur hardware error, by using software invention or attaching the Land mark to subject.