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Hilton Head Island, SC, USA
June 15, 2000 to June 15, 2000
ISBN: 0-7695-0662-3
pp: 2474
Jun-ichi Terai , Microsoft Research China
Heung-Yeung Shum , Microsoft Research China
ABSTRACT
In this paper, we show that given two homography matrices for two planes in space, there is a linear algorithm for the rotation and translation between the two cameras, the focal lengths of the two cameras and the plane equations in the space. Using the estimates as an initial guess, we can further optimize the solution by minimizing the difference between observations and re-projections. Experimental results are shown. We also provide a discussion about the relationship between this approach and the Kruppa equation.
CITATION
Jun-ichi Terai, Heung-Yeung Shum, "A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images", CVPR, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 2000, pp. 2474, doi:10.1109/CVPR.2000.854886