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ABSTRACT
<p><b>Abstract</b>—This paper presents a linear algorithm for recovering 3D affine shape and motion from line correspondences with uncalibrated affine cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projective camera. This converts 3D affine reconstruction of "line directions" into 2D projective reconstruction of "points." In addition, a line-based factorization method is also proposed to handle redundant views. Experimental results both on simulated and real image sequences validate the robustness and the accuracy of the algorithm.</p>
INDEX TERMS
Structure from motion, affine structure, factorization method, line correspondence, affine camera, one-dimensional camera, uncalibrated image.
CITATION
Long Quan, Takeo Kanade, "Affine Structure from Line Correspondences With Uncalibrated Affine Cameras", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 19, no. , pp. 834-845, August 1997, doi:10.1109/34.608285
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