Orthographic-Perspective Epipolar Geometry
(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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- author
- Larsson, Viktor LU ; Pollefeys, Marc and Oskarsson, Magnus LU
- organization
- publishing date
- 2021
- 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}}, }