DOI QR코드

DOI QR Code

실사적인 3차원 물체 모델링 기법 개선

A Study on Photographic 3D Modeling Techniques for Their Enhancements

  • 이종수 (울산대학교 컴퓨터정보통신공학부)
  • 발행 : 2003.04.01

초록

본 논문에서는 실사적인 3D 물체 모델링을 위해 제안된 기법들을 고찰하고, 보다 정확한 모델링을 위한 방안들을 제시하고 있다. F-행렬 추정기법의 개선과 스테레오 영상 평행화기법을 적용함으로 물체 모델링의 정확도를 높히는데 필수적임을 보여준다.

In this paper, in-depth considerations are given to various techniques suggested for photographic 3D modelling and possible enhancements of the techniques are discussed. It is found that both the improvement of fundamental matrix estimation techniques and the stereo image rectification processing stage are necessary for more accurate 3D modelling.

키워드

참고문헌

  1. K. Kanatani, 'Optimal fundmamental matrix computation : Algorithm and reliability analysis,' Proc. 6th Symp. Sensing via Image Information (SSII 2000), Yokohama, Japan, pp.291-298, June, 2000
  2. Z. Zhang, R. Deriche, O. Faugeras, Q.-T.Luong, 'A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry,' Artificial Intelligence Journal, Vol.78, pp.87-119, October, 1995 https://doi.org/10.1016/0004-3702(95)00022-4
  3. K. Kanatani, Statistical Optimization for Geometric Computation : Theory and Practice, Elsevier Science, Amsterdam, The Netherlands, April, 1996
  4. A. Fusiello, E. Trucco, A. Verri, 'Rectification with unconstrained stereo geometry,' BMVC97, pp.400-409, 1997
  5. O. Faugeras, 'Three-Dimensional Computer Vision : A Geometric Viewpoin,' The MIT press, Cambridge, 1993
  6. N. Ayache and C. Hansen, 'Rectification of images for binocular and trinocular stereovision,' Proc. Itern. Cof. on Pattern Recognition, pp.11-16, 1998 https://doi.org/10.1109/ICPR.1988.28160
  7. S. Roy, J. Meunier and I. Cox, 'Cylindrical Rectification to Minimize Epiploar Distrotion,' Proc.IEEE Conference on Computer Vision and Pattern Recognition, pp.393-399, 1997 https://doi.org/10.1109/CVPR.1997.609355