대한기계학회논문집A (Transactions of the Korean Society of Mechanical Engineers A)

  • 제38권9호
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  • Pages.1029-1036
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  • 2014
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  • 1226-4873(pISSN)
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  • 2288-5226(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
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3D 형상정보 자동 수집을 위한 구면좌표계식 스캐닝 시스템

Spherical-Coordinate-Based Guiding System for Automatic 3D Shape Scanning

  • 박상욱 (서울과학기술대학교 기계시스템디자인공학과) ;
  • 맹희영 (서울과학기술대학교 기계시스템디자인공학과) ;
  • 이명상 (서울과학기술대학교 기계시스템디자인공학과) ;
  • 권길선 (국가기록원 복원기록과) ;
  • 나미선 (국가기록원 복원기록과)
  • Park, Sang Wook (Dept. of Mechanical System Design Engineering, Seoul Nat'l Univ. of Science and Technology) ;
  • Maeng, Hee-Young (Dept. of Mechanical System Design Engineering, Seoul Nat'l Univ. of Science and Technology) ;
  • Lee, Myoung Sang (Dept. of Mechanical System Design Engineering, Seoul Nat'l Univ. of Science and Technology) ;
  • Kwon, Kil Sun (National Archives of Korea) ;
  • Na, Mi-Sun (National Archives of Korea)
  • 투고 : 2014.04.17
  • 심사 : 2014.07.22
  • 발행 : 2014.09.01
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초록

3D 스캐닝을 이용한 3D 형상정보를 구축하기 위해서는 피측정물의 촬영부터 시작하여 획득된 데이터의 합성과정까지 여러 단계를 거치는데, 이는 많은 시간과 복잡하며 번거로운 수작업을 요구한다. 본 연구에서는 복잡하고 많은 시간이 소요되는 과정에서 생기는 불필요한 준비과정이나 진행단계별 수작업 요소들을 자동화하여 작업자의 숙련도에 따라 발생하는 데이터 품질의 차이를 최소화 할 수 있도록 하였으며, 작업자의 실수로 인해 발생하는 데이터의 부재를 사전에 예방 할 수 있어 결과적으로 3D 스캐너를 통한 3 차원데이터 획득과정의 시간적, 데이터적 효율성과 형상정밀도를 증가시킴을 증명하였다.

Several types of automatic 3D scanners are available for use in the 3D scanning industry, e.g., an automatic 3D scanner that uses a robot arm and one that uses an automatic rotary table. Specifically, these scanners are used to obtain a 3D shape using automatic assisting devices. Most of these scanners are required to perform numerous operations, such as merging, aligning, trimming, and filling holes. We are interested in developing an automatic 3D shape collection device using a spherical-coordinate-based guiding system. Then, the aim of the present study is to design an automatic guiding system that can automatically collect 3D shape data. We develop a 3D model of this system and measuring data which are collected by a personal computer. An optimal design of this system and the geometrical accuracy of the measured data are both evaluated using 3D modeling software. The developed system is then applied to an object having a highly complex shape and manifold sections. Our simulation results demonstrate that the developed system collects higher-quality 3D data than the conventional method.

키워드

참고문헌

  1. Maeng, H. and Sung, B., 2009, "Development of 3D Measuring System for Artificial Pontic Using Spherical Coordinate System Mechanism," Journal of the KSMTE, Vol.19, No.4, pp.427-433.
  2. Umeyama, S., 2001, "Least-Squares Estimation of Transformation Parameters Between Two Point Patterns," IEEE Trans. of Pattern Analysis and Machine Intelligence, Vol. 13, No.4, pp. 376-380.
  3. Stamos, I. and Allen, P. K., 2000, "3-D Model Construction Using Range and Image Data," IEEE International Conf. on Computer Vision and Pattern Recognition, Vol. 1, pp. 531-536.
  4. Cline, A. K. and Renka, R. L., 1984, "A Storage-Efficient Method for Construction of a Thiessen Triangulation," Rocky Mountain Journal of Mathematics, Vol. 14, Number 1.
  5. Han, S., Lee, S., Kim, S. P., Kim, C. and Heo, J., Lee, Heebum, 2011, "A Comparison of 3D R-Tree and Octree to Index Large Point Clouds from a 3D Terrestrial Laser Scanner," Journal of KSGPC, Vol. 29, No. 1, pp. 36-49. https://doi.org/10.7848/ksgpc.2011.29.1.39
  6. Lorensen, W. and Cline, H., 1987, "Marching Cubes: A High Resolution 3D Surface Construction Algorithm," Computer Graphics, Vol. 21, pp. 163-169. https://doi.org/10.1145/37402.37422
  7. Kim, E.-K., 1996, "Error Correction in Laser Scanner 3D Measurement," IEIE, Vol. 33, No.5, pp. 950-957.
  8. Chu, C. W., 2006, "Implementation of 3D Structure Reconstruction System from Multiple Images," FCV 2006, Japan.
  9. Choi, J. H., Son, T. G. and Lee, K., 2010, "Virtual scanning System for Accuracy Evaluation of 3D Overlapped Point-Clouds Registration Algorithm," KSPE Spring Conference, pp. 829-830.