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Affine Structure from Line Correspondences with Uncalibrated Affine Cameras

Long Quan 1 Takeo Kanade 2 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : 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 factorisation 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.
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Submitted on : Tuesday, May 3, 2011 - 9:14:53 AM
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Long Quan, Takeo Kanade. Affine Structure from Line Correspondences with Uncalibrated Affine Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19 (8), pp.834--845. ⟨10.1109/34.608285⟩. ⟨inria-00590071⟩



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