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Orthographic-Perspective Epipolar Geometry

Larsson, Viktor LU ; Pollefeys, Marc and Oskarsson, Magnus LU orcid (2021) 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021 In Proceedings of the IEEE International Conference on Computer Vision p.5550-5558
Abstract

In this paper we consider the epipolar geometry between orthographic and perspective cameras. We generalize many of the classical results for the perspective essential matrix to this setting and derive novel minimal solvers, not only for the calibrated case, but also for partially calibrated and non-central camera setups. While orthographic cameras might seem exotic, they occur naturally in many applications. They can e.g. model 2D maps (such as floor plans), aerial/satellite photography and even approximate narrow field-of-view cameras (e.g. from telephoto lenses). In our experiments we highlight various applications of the developed theory and solvers, including Radar-Camera calibration and aligning Structure-from-Motion models to... (More)

In this paper we consider the epipolar geometry between orthographic and perspective cameras. We generalize many of the classical results for the perspective essential matrix to this setting and derive novel minimal solvers, not only for the calibrated case, but also for partially calibrated and non-central camera setups. While orthographic cameras might seem exotic, they occur naturally in many applications. They can e.g. model 2D maps (such as floor plans), aerial/satellite photography and even approximate narrow field-of-view cameras (e.g. from telephoto lenses). In our experiments we highlight various applications of the developed theory and solvers, including Radar-Camera calibration and aligning Structure-from-Motion models to aerial or satellite images.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021
series title
Proceedings of the IEEE International Conference on Computer Vision
pages
9 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
18th IEEE/CVF International Conference on Computer Vision, ICCV 2021
conference location
Virtual, Online, Canada
conference dates
2021-10-11 - 2021-10-17
external identifiers
  • scopus:85127831332
ISSN
1550-5499
ISBN
9781665428125
DOI
10.1109/ICCV48922.2021.00552
language
English
LU publication?
yes
id
97cf6ae2-f435-44bb-9e76-93794509dfb9
date added to LUP
2022-06-14 13:33:26
date last changed
2022-09-06 09:57:23
@inproceedings{97cf6ae2-f435-44bb-9e76-93794509dfb9,
  abstract     = {{<p>In this paper we consider the epipolar geometry between orthographic and perspective cameras. We generalize many of the classical results for the perspective essential matrix to this setting and derive novel minimal solvers, not only for the calibrated case, but also for partially calibrated and non-central camera setups. While orthographic cameras might seem exotic, they occur naturally in many applications. They can e.g. model 2D maps (such as floor plans), aerial/satellite photography and even approximate narrow field-of-view cameras (e.g. from telephoto lenses). In our experiments we highlight various applications of the developed theory and solvers, including Radar-Camera calibration and aligning Structure-from-Motion models to aerial or satellite images.</p>}},
  author       = {{Larsson, Viktor and Pollefeys, Marc and Oskarsson, Magnus}},
  booktitle    = {{Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021}},
  isbn         = {{9781665428125}},
  issn         = {{1550-5499}},
  language     = {{eng}},
  pages        = {{5550--5558}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Proceedings of the IEEE International Conference on Computer Vision}},
  title        = {{Orthographic-Perspective Epipolar Geometry}},
  url          = {{http://dx.doi.org/10.1109/ICCV48922.2021.00552}},
  doi          = {{10.1109/ICCV48922.2021.00552}},
  year         = {{2021}},
}