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

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Date

2003

Authors

Bartoli, Adrien
Hartley, Richard
Kahl, Fredrik

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

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.

Description

Keywords

Keywords: Algorithms; Cameras; Computer simulation; Error analysis; Image reconstruction; Least squares approximations; Linear systems; Matrix algebra; Maximum likelihood estimation; Motion estimation; Nonlinear systems; Linear algorithm; Nonlinear estimator; Three

Citation

URI

http://hdl.handle.net/1885/86597

Collections

ANU Research Publications

Source

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2003

Type

Conference paper

Book Title

Entity type

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