Determination of camera location from 2D to 3D line and pointcorrespondences
Liu, Y.
Huang, T.S.
Faugeras, O.D.
Coordinated Sci. Lab., Illinois Univ., Urbana, IL ;
This paper appears in: Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Publication Date: 5-9 Jun 1988
On page(s): 82-88
Meeting Date: 06/05/1988 - 06/09/1988
Location: Ann Arbor, MI, USA
ISBN: 0-8186-0862-5
References Cited: 6
INSPEC Accession Number: 3258504
Digital Object Identifier: 10.1109/CVPR.1988.196218
Current Version Published: 2002-08-06
Abstract
A novel method for the determination of camera location from 2-D
to 3-D line or point correspondences is presented. Using this method,
the computation of the rotation matrix and the translation vector of the
camera are separable. First, the rotation matrix is found by a linear
algorithm using eight or more line correspondences, or by a nonlinear
algorithm using three of more line correspondences, where the line
correspondences are either given or derived from point correspondences.
Then, the translation vector can be obtained by solving a set of linear
equations based on three or more line correspondences, or two or more
point correspondences. Eight 2-D-to-3-D line or point correspondences or
six 2-D-to-3-D point correspondences are needed for the linear approach;
three 2-D-to-3-D line or point correspondences for the nonlinear
approach. Good results can be obtained in the presence of noise if more
than the minimum required number of correspondences are used
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