DOI QR코드

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3차원 측정 데이터와 영상 데이터를 이용한 특징 형상 검출

Feature Detection using Measured 3D Data and Image Data

  • 김한솔 (고려대학교 기계공학부) ;
  • 정건화 (고려대학교 기계공학부) ;
  • 장민호 (고려대학교 기계공학부) ;
  • 김준호 (국민대학교 컴퓨터공학부)
  • Kim, Hansol (Department of Mechanical Engineering, Korea Univ.) ;
  • Jung, Keonhwa (Department of Mechanical Engineering, Korea Univ.) ;
  • Chang, Minho (Department of Mechanical Engineering, Korea Univ.) ;
  • Kim, Junho (School of Computer Science, Kookmin Univ.)
  • 투고 : 2012.12.14
  • 심사 : 2013.05.17
  • 발행 : 2013.06.01

초록

3D scanning is a technique to measure the 3D shape information of the object. Shape information obtained by 3D scanning is expressed either as point cloud or as polygon mesh type data that can be widely used in various areas such as reverse engineering and quality inspection. 3D scanning should be performed as accurate as possible since the scanned data is highly required to detect the features on an object in order to scan the shape of the object more precisely. In this study, we propose the method on finding the location of feature more accurately, based on the extended Biplane SNAKE with global optimization. In each iteration, we project the feature lines obtained by the extended Biplane SNAKE into each image plane and move the feature lines to the features on each image. We have applied this approach to real models to verify the proposed optimization algorithm.

키워드

참고문헌

  1. Thompson, W. B., Owen, J. C., Stark, S. R., and Henderson, T. C., "Feature-based reverse engineering of mechanical parts," Robotics and Automation, Vol. 15, No. 1, pp. 57-66, 1999. https://doi.org/10.1109/70.744602
  2. Lee, S. Y. and Lim, S. G., "Three dimensional measurements using machine vision," J. Korean Soc. Precis. Eng., Vol. 18, No. 3, pp. 18-22, 2001.
  3. Batlle, J., Mouaddib, E., and Salvi, J., "Recent progress in coded structured light as a technique to solve the correspondence problem: a survey," Pattern Recognition, Vol. 31, No. 7, pp. 963-982, 1998. https://doi.org/10.1016/S0031-3203(97)00074-5
  4. Galanulis, K., "Optical measuring technologies in sheet metal processing," Advanced Materials Research, Vol. 6-8, pp. 19-34, 2005. https://doi.org/10.4028/www.scientific.net/AMR.6-8.19
  5. Malassiotis, S. and Strintzis, M. G., "Stereo vision system for precision dimensional inspection of 3D holes," Machine Vision and Applications, Vol. 15, No. 2, pp. 101-113, 2003. https://doi.org/10.1007/s00138-003-0132-3
  6. Lavoué, G., Dupont, F., and Baskurt, A., "A new CAD mesh segmentation method, based on curvature tensor analysis," Computer Aided Design, Vol. 37, No. 10, pp. 975-987, 2005. https://doi.org/10.1016/j.cad.2004.09.001
  7. Ohtake, Y., Belyaev, A., and Seidel, H. P., "Ridgevalley lines on meshes via implicit surface fitting," ACM Trans. Graph, Vol. 23, No. 3, pp. 609-612, 2004. https://doi.org/10.1145/1015706.1015768
  8. Biegelbauer, G. and Vincze, M., "3D Vision-Guided Bore Inspection System," Proc. of the Fourth IEEE International Conference on Computer Vision Systems, p. 22, 2006.
  9. Cho, S. H., Cho, M. W., and Kim, J. D., "Reverse engineering of 3D compound shapes using delaunay triangulation," J. Korean Soc. Precis. Eng., Vol. 17, No. 7, pp. 181-188, 2000.
  10. Schmid, C. and Zisserman. A., "The Geometry and Matching of Lines and Curves Over Multiple Views," International Journal of Computer Vision, Vol. 40, No. 3, pp. 199-233, 2000. https://doi.org/10.1023/A:1008135310502
  11. Kass, M., Witkin, A., and Terzopoulos, D., "Snakes: Active contour models," International Journal of Computer Vision, Vol. 1, No. 4, pp. 321-331, 1998.
  12. Morales, C. C., Radeva, P., Toledo, R., Villanueva, J. J., and Mauri, J., "3D curve reconstruction by biplane snakes," International Conference on Pattern Recognition, Vol. 4, pp. 4563-4566, 2000.
  13. von Gioi, R. G., Jakubowicz, J., Morel, J. M., and Randall, G., "LSD: A Fast Line Segment Detector with a False Detection Control," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 4, pp. 722-732, 2010. https://doi.org/10.1109/TPAMI.2008.300