Uncalibrated 1D Projective Camera and 3D Affine Reconstruction of Lines

Long Quan 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We describe a linear algorithm to recover 3D affine shape/motion from line correspondences over three views with uncalibrated affine cameras. The key idea is the introduction of a one-dimensional projective camera. This converts the 3D affine reconstruction of "lines" into 2D projective reconstruction of "points". Using the full tensorial representation of three uncalibrated 1D views, we prove that the 3D affine reconstruction of lines from minimal data is unique up to a re-ordering of the views. 3D affine line reconstruction can be performed by properly rescaling image coordinates instead of using projection matrices. The algorithm is validated on both simulated and real image sequences.
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Communication dans un congrès
IEEE Conference on Computer Vision and Pattern Recognition (CVPR '97), Jun 1997, San Juan, Puerto Rico. IEEE Computer society, pp.60--65, 1997, 〈10.1109/CVPR.1997.609298〉
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Long Quan. Uncalibrated 1D Projective Camera and 3D Affine Reconstruction of Lines. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '97), Jun 1997, San Juan, Puerto Rico. IEEE Computer society, pp.60--65, 1997, 〈10.1109/CVPR.1997.609298〉. 〈inria-00590078〉

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