Transactions of the Korean Society of Machine Tool Engineers (한국공작기계학회논문집)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
권호 표지

An Efficient Depth Measurement of 3D Microsystem from Stereo Images

입체화상으로부터 3차원 마이크로계의 효과적인 깊이측정

  • 황진우 (광운대학교 대학원 화학공학과) ;
  • 이중 (광운대학교 화학공학과/국립과학수사연구소) ;
  • 윤도영 (광운대학교 화학공학과)
  • Published : 2007.10.15
Download PDF
⟨ Previous Next ⟩

Abstract

This study represents the efficient depth measurement for 3-dimensional microsystems using the disparity histogram from stereo images. Implementation of user-friendly Windows program written in C++ involves the various methods for the stereo-image processing in which the minimization of matching-pixel error upon the unique point for stereo images was carried out as a pre-processing method. Even though MPC among various methods was adopted in the present measurement, the resulting measurements seem to require optimizations of the windows sizes and corrections of post-manipulation for stereo images. The present work using Windows program is promising to measure the 3-dimensional depth of micro-system efficiently in implementing the 3-dimensional structure of micro-systems.

Keywords

References

  1. Mori, K., Kidode, M. and Asada, H., 1973, 'An iterative prediction and correction method for automatic stereocomparison,' Comput. Graphics Image Processing, Vol. 2, pp. 393-401 https://doi.org/10.1016/0146-664X(73)90016-6
  2. Hannah, M. J., 1974, 'Computer matching of areas in stereo images,' Ph. D. Thesis, Stanford University
  3. Barnard, S. and Fischler, M., 1984, 'Computational stereo,' ACM Comput. Surverys, Vol. 14, pp. 553-572
  4. Arnold, R. D., 1983, 'Automated stereo perception,' Ph. D. thesis, Stanford University
  5. Geman, S. and Geman, D., 1984, 'Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images,' IEEE Trans. PAMI, Vol. 6, pp. 721-741
  6. Hoff, W. and Ahuja, N., 1989, 'Surfaces from stereo: Integrating feature matching, disparity estimation, and contour detection,' IEEE Trans. MI, Vol. 2, pp. 121-136
  7. Cochran, S. D. and Medioni, G., 1992, '3-D surface description from binocular stereo,' IEEE Trans. PAMI, Vol. 14, pp. 981-994 https://doi.org/10.1109/34.159902
  8. O'Neill, M. and Denos, M., 1996, 'Automated system for coarse-to-fine pyramidal area correlation stereo matching,' Image and Vision Compution, Vol. 14, pp. 220-236
  9. Marr, D. and Hildreth, E., 1980, 'Theory of edge detection,' Proc, R. Soc, London, B 207, pp. 187-217