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Published Articles >> Table of Contents >> Abstract
Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 1
p. 207
Multiple-View Structure and Motion From Line Correspondences
Adrien Bartoli, INRIA Rhône-Alpes
Peter Sturm, INRIA Rhône-Alpes
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238342
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We address the problem of camera motion and structure reconstruction from line correspondences across multiple views, from initialization to final bundle adjustment. One of the main difficulties when dealing with line features is their algebraic representation. First, we consider the triangulation problem. Based on Plücker coordinates to represent the lines, we propose a maximum likelihood algorithm, relying on linearising the Plücker constraint, and on a Plücker correction procedure to compute the closest Plücker coordinates to a given 6-vector. Second, we consider the bundle adjustment problem. Previous overparameterizations of 3D lines induce gauge freedoms and/or internal consistency constraints. We propose the orthonormal representation, which allows handy non-linear optimization of 3D lines using the minimum 4 parameters, within an unconstrained non-linear optimizer. We compare our algorithms to existing ones on simulated and real data.
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 Additional Information
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Citation:
Adrien Bartoli, Peter Sturm,
"Multiple-View Structure and Motion From Line Correspondences,"
iccv,
p. 207,
Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 1,
2003
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