Motion From 3D Line Correspondences: Linear and Non-Linear Solutions

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2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1

Madison, Wisconsin

June 18-June 20

ISBN: 0-7695-1900-8

	ASCII Text	x
	Adrien Bartoli, Richard I. Hartley, Fredrik Kahl, "Motion From 3D Line Correspondences: Linear and Non-Linear Solutions," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 477, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003.

	BibTex	x
	@article{ 10.1109/CVPR.2003.1211392, author = {Adrien Bartoli and Richard I. Hartley and Fredrik Kahl}, title = {Motion From 3D Line Correspondences: Linear and Non-Linear Solutions}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {1}, year = {2003}, issn = {1063-6919}, pages = {477}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211392}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - Motion From 3D Line Correspondences: Linear and Non-Linear Solutions SN - 1063-6919 SP EP A1 - Adrien Bartoli, A1 - Richard I. Hartley, A1 - Fredrik Kahl, PY - 2003 KW - null VL - 1 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

Adrien Bartoli, INRIA Rh?ne-Alpes, France

Richard I. Hartley, Australian National University

Fredrik Kahl, Lund University, Sweden

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211392

We address the problem of aligning two reconstructions of lines and cameras in projective, affine, metric or Euclidean space. We propose several 3D and image-related linear algorithms. The result can be used to initialize the non-linear minimization of several proposed error functions, as well as the maximum likelihood estimator that we derive. We evaluate and compare our algorithms to existing ones using simulated and real data.

Citation:

Adrien Bartoli, Richard I. Hartley, Fredrik Kahl, "Motion From 3D Line Correspondences: Linear and Non-Linear Solutions," cvpr, vol. 1, pp.477, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003

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