Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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Application of Stereo Vision for Shape Measurement of Free-form Surface using Shape-from-shading

자유곡면의 형상 측정에서 shape-from-shading을 접목한 스테레오 비전의 적용

  • 양영수 (전남대학교 기계공학과) ;
  • 배강열 (경남과학기술대학교 메카트로닉스공학과)
  • Received : 2017.08.21
  • Accepted : 2017.09.04
  • Published : 2017.10.31
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Abstract

Shape-from-shading (SFS) or stereo vision algorithms can be utilized to measure the shape of an object with imaging techniques for effective sensing in non-contact measurements. SFS algorithms could reconstruct the 3D information from a 2D image data, offering relatively comprehensive information. Meanwhile, a stereo vision algorithm needs several feature points or lines to extract 3D information from two 2D images. However, to measure the size of an object with a freeform surface, the two algorithms need some additional information, such as boundary conditions and grids, respectively. In this study, a stereo vision scheme using the depth information obtained by shape-from-shading as patterns was proposed to measure the size of an object with a freeform surface. The feasibility of the scheme was proved with an experiment where the images of an object were acquired by a CCD camera at two positions, then processed by SFS, and finally by stereo matching. The experimental results revealed that the proposed scheme could recognize the size and shape of freeform surface fairly well.

Keywords

References

  1. Lee, J. H., Jung, S. H. and Kim, D. -H., "Development of a 3-D Position Measurement Algorithm using 2-D Information",, Vol. 12, No. 5, pp. 141-148, 2013.
  2. Pyo, C. R., "Development of Auto Positioning Laser System by using Image Measurement Data", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 12, No. 3, pp. 36-40, 2013.
  3. Lee, Y. H., Park, G. B., Cho, Y. T., Lee, E. S. and Jung, Y. G., "Development and Performance Evaluation of Hybrid Measuring Instrument", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 16, No. 3, pp. 69-75, 2017.
  4. Lee, G. I., Kim, J. Y., Roh, C. S. and Choi, C. J., "Customized Pattern-Recognition Technique using Vision Measurement System Development in New Car Manufacturing Process", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 15, No. 4, pp. 51-59, 2016. https://doi.org/10.14775/ksmpe.2016.15.4.051
  5. Yang, M. Y. and Yoo, J. K., "A CAM System of Sculptured Surface using Computer Vision", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 14, No. 4, pp. 850-856, 1990.
  6. Mansour, R. F., "A Robust Method for Shape From Shading using Genetic Algorithm Based on Matrix Code", American J. of Comp. and Applied Mathematics, Vol. 1. No. 1, pp. 33-40, 2011. https://doi.org/10.5923/j.ajcam.20110101.07
  7. Joseph, V. and Bhatia, S., "Neural Network Based 3D Surface Reconstruction," Int. J. on Computer Science and Engineering, Vol. 1, No. 3, pp.116-121, 2009.
  8. Pentland, A. P., "Linear Shape From Shading", Int. J. of Computer Vision, 4, pp. 153-162, 1990. https://doi.org/10.1007/BF00127815
  9. Tshai, P. and Shah, M., "Shape From Shading using Linear Approximation", Image and Vision Computing, Vol. 12, No. 8, pp. 487-498, 1994. https://doi.org/10.1016/0262-8856(94)90002-7
  10. Bae, K. Y. and Benhabib, B., "A Hybrid Scheme Incorporating Stereo-matching and Shape-from-shading for Spatial Object Recognition", Proc. Instn Mech. Engrs. Vol. 217, No. 11 Part B, pp. 1533-1542, 2003. https://doi.org/10.1243/095440503771909917
  11. Cryer, J. E., Tsai, P. S. and Shah, M., "Integration of Shape From Shading and Stereo", Pattern Recognition, Vol. 28, No. 7, pp. 1033-1043, 1995. https://doi.org/10.1016/0031-3203(94)00183-M
  12. Ikeuchi, K. and Horn, B. K. P., "Numerical Shape-from-shading and Occluding Boundaries", Artificial Intelligence, Vol. 17, pp. 141-184, 1981. https://doi.org/10.1016/0004-3702(81)90023-0
  13. Fu, K. S., Gonzalez R. C. and Lee, C. S. G., Robotics - Control, Sensing, Vision, and Intelligence, McGraw Hill, pp. 325-328, 1987.

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