Motion from 3D line correspondences: Linear and non-linear solutions

Adrien Bartoli; Richard I. Hartley; Fredrik Kahl

Motion from 3D line correspondences: Linear and non-linear solutions

Adrien Bartoli^*, Richard I. Hartley, Fredrik Kahl

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

10 Citations (Scopus)

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.

Original language	English
Pages (from-to)	I/477-I/484
Journal	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	1
Publication status	Published - 2003
Event	2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Madison, WI, United States Duration: 18 Jun 2003 → 20 Jun 2003

Cite this

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title = "Motion from 3D line correspondences: Linear and non-linear solutions",

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.",

author = "Adrien Bartoli and Hartley, {Richard I.} and Fredrik Kahl",

year = "2003",

language = "English",

volume = "1",

pages = "I/477--I/484",

journal = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

issn = "1063-6919",

publisher = "IEEE Computer Society",

note = "2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 18-06-2003 Through 20-06-2003",

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TY - JOUR

T1 - Motion from 3D line correspondences

T2 - 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

AU - Bartoli, Adrien

AU - Hartley, Richard I.

AU - Kahl, Fredrik

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=14044249842&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:14044249842

SN - 1063-6919

VL - 1

SP - I/477-I/484

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

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

Y2 - 18 June 2003 through 20 June 2003

ER -

Motion from 3D line correspondences: Linear and non-linear solutions

Abstract

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