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The 3D Line Motion Matrix and Alignment of Line Reconstructions
Kauai, Hawaii December 08-December 14
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.9904882001 IEEE Computer Society Conference ...
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Adrien Bartoli, Peter Sturm, "The 3D Line Motion Matrix and Alignment of Line Reconstructions," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 287, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001.
 
 
BibTex
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@article{ 10.1109/CVPR.2001.990488,
author = {Adrien Bartoli and Peter Sturm},
title = {The 3D Line Motion Matrix and Alignment of Line Reconstructions},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2001},
issn = {1063-6919},
pages = {287},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990488},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - The 3D Line Motion Matrix and Alignment of Line Reconstructions
SN - 1063-6919
SP
EP
A1 - Adrien Bartoli,
A1 - Peter Sturm,
PY - 2001
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Adrien Bartoli, INRIA Rh?ne-Alpes
Peter Sturm, INRIA Rh?ne-Alpes
We study the problem of aligning two 3D line reconstructions expressed in Pl?cker line coordinates. We introduce the 6?6 3D line motion matrix that acts on Pl?cker coordinates in projective, affine or Euclidean space. We characterize its algebraic properties and its relation to the usual 4?4 point motion matrix, and propose various methods for estimating 3D motion from line correspondences, based on image-related and 3D cost functions. We assess the quality of the different estimation methods using simulated data and real images.
Citation:
Adrien Bartoli, Peter Sturm, "The 3D Line Motion Matrix and Alignment of Line Reconstructions," cvpr, vol. 1, pp.287, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001
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