Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Measurement of 3D Shape of Fastener using Camera and Slit Laser

카메라와 슬릿 레이저를 이용한 나사 3D 형상 측정

  • Kim, Jin Woo (Graduate School of Automotive Engineering, Seoul National University of Science and Technology) ;
  • Song, Tae Hun (Graduate School of Automotive Engineering, Seoul National University of Science and Technology) ;
  • Ha, Jong Eun (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology)
  • 김진우 (서울과학기술대학교 자동차공학과 대학원) ;
  • 송태훈 (서울과학기술대학교 자동차공학과 대학원) ;
  • 하종은 (서울과학기술대학교 기계.자동차공학과)
  • Received : 2015.05.11
  • Accepted : 2015.05.30
  • Published : 2015.06.01
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Abstract

The measurement of 3D shape is important in inspecting the quality of product. In this paper, we present a 3D shape measurement system of fastener using a camera and a slit laser. Calibration structure with slits is used in the extrinsic calibration of the camera and laser. The pose of the camera and laser is computed under the same world coordinate system in the calibration structure. Reflection of laser light on the metal surface causes many difficulties in the robust detection of them on image. We overcome this difficulty by using color and dynamic programming. Motor stage is used to rotate the fastener to recover the whole 3D shape of the surface of it.

Keywords

References

  1. Zhou, F. and Zhang, G., "Complete Calibration of a Structured Light Stripe Vision Sensor through Planar Target of Unknown Orientations," Image and Vision Computing, Vol. 23, No. 1, pp. 59-67, 2005. https://doi.org/10.1016/j.imavis.2004.07.006
  2. Chen, C. and Kak, A., "Modeling and Calibration of a Structured Light Scanner for 3-D Robot Vision," Proc. of IEEE International Conference on Robotics and Automation, pp. 807-815, 1987.
  3. Reid, I. D., "Projective Calibration of a Laser-stripe Range Finder," Image and Vision Computing, Vol. 14, No. 9, pp. 659-666, 1996. https://doi.org/10.1016/0262-8856(96)84490-8
  4. Huynh, D. Q., Owens, R. A., and Hartmann, P., "Calibrating a Structured Light Stripe System: A Novel Approach," International Journal of Computer Vision, Vol. 33, No. 1, pp. 73-86, 1999. https://doi.org/10.1023/A:1008117315311
  5. Ha, J.-E. and Her, K.-W., "Calibration of Structured Light Stripe System using Plane with Slits," Optical Engineering, Vol. 52, No. 1, Paper No. 013602, 2013.
  6. Tsai, R. Y., "A Versatile Camera Calibration Techniques for High-Accuracy 3D Machine Vision Metrology using Off-the-shelf TV Cameras and Lenses," IEEE Transactions on Robotics and Automation, pp. 323-344, 1987.
  7. Birchfield, S. and Tomasi, C., "Depth Discontinuities by Pixel-to-pixel Stereo," International Journal of Computer Vision, Vol. 35, No. 3, pp. 269-293, 1999. https://doi.org/10.1023/A:1008160311296
  8. Kass, M., Witkin, A., and Terzopoulos, D., "Snakes: Active Contour Models," International Journal of Computer vision, Vol. 1, No. 4, pp. 321-331, 1988. https://doi.org/10.1007/BF00133570
  9. Amini, A. A., Weymouth, T. E., and Jain, R. C., "Using Dynamic Programming for Solving Variational Problems in Vision," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No. 9, pp. 855-867, 1990. https://doi.org/10.1109/34.57681

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