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A Calibration Algorithm Using Known Angle

각도 정보를 이용한 카메라 보정 알고리듬

  • 권인소 (한국과학기술원 전기 및 전자공학과) ;
  • 하종은 (동명정보대학교 멀티미디어공학과)
  • Published : 2004.05.01

Abstract

We present a new algorithm for the calibration of a camera and the recovery of 3D scene structure up to a scale from image sequences using known angles between lines in the scene. Traditional method for calibration using scene constraints requires various scene constraints due to the stratified approach. Proposed method requires only one type of scene constraint of known angle and also it directly recovers metric structure up to an unknown scale from projective structure. Specifically, we recover the matrix that is the homography between the projective structure and the Euclidean structure using angles. Since this matrix is a unique one in the given set of image sequences, we can easily deal with the problem of varying intrinsic parameters of the camera. Experimental results on the synthetic and real images demonstrate the feasibility of the proposed algorithm.

Keywords

References

  1. R. Y.T sai, 'A versatile camera calibration technique for high accuracy 3D machine vision metrology using off-the-shelf TV cameras and lensed,' IEEE Journal of Robotics and Automation, vol.3, no. 4, Aug, 1987 https://doi.org/10.1109/JRA.1987.1087109
  2. O. D. Faugeras, and G.Toscani, 'Camera clibration for 3D computer vision,' Proceedings of International Workshop on Machine Vision and machine Intelligence, Tokyo, Japan, 1987
  3. O. Faugeras, 'Stratification of three-dimensional vision: projective, affine and metric representations,' J. Opt. Soc. Am. A, vol. 12, no. 3, pp. 465-484, 1995 https://doi.org/10.1364/JOSAA.12.000465
  4. O. Faugeras, S. lavean, l. Robert, G. Csurkaj and C. Zeller, '3-D reconstruction of urban scenes from sequences of images,' INRIARR-2572, 1995
  5. B. Boufama, R. Mohr and F. Veillon, 'Euclidean constraints for uncalibrated reconstruction,' International conference on computer Vision, pp. 466-470, 1993 https://doi.org/10.1109/ICCV.1993.378179
  6. O. Faugeras, 'What cna be seen in thress dimensions with an uncalibrated stereo rig?,' Proceedings of the 2nd european Conference on Computer Vision, pp. 563-578, 1992
  7. R. Hartley, R. Gupta, and T. Chang, 'Stereo from uncalibrated cameras,' Proceedings of IEEE Int. Conference on Computer vision and Pattern Recognition, pp. 761-764, 1992 https://doi.org/10.1109/CVPR.1992.223179
  8. W. H. press, B. P. Flannery, S. A. Teukolsky and W. T. Vetterling, Numerical Recipes in C, Cambridge University Press
  9. S.Bougnoux, 'From projective ti euclidean space under any practical situation, a criticism of self-calibration,' Proceedings of International Conference on Computer Vision, pp. 790-796, 1998