Revisiting radial distortion absolute pose
(2019) 2019 IEEE/CVF International Conference on Computer Vision (ICCV) p.1062-1071- Abstract
- To model radial distortion there are two main approaches; either the image points are undistorted such that they correspond to pinhole projections, or the pinhole projections are distorted such that they align with the image measurements. Depending on the application, either of the two approaches can be more suitable. For example, distortion models are commonly used in Structure-from-Motion since they simplify measuring the reprojection error in images. Surprisingly, all previous minimal solvers for pose estimation with radial distortion use undistortion models. In this paper we aim to fill this gap in the literature by proposing the first minimal solvers which can jointly estimate distortion models together with camera pose. We present a... (More)
- To model radial distortion there are two main approaches; either the image points are undistorted such that they correspond to pinhole projections, or the pinhole projections are distorted such that they align with the image measurements. Depending on the application, either of the two approaches can be more suitable. For example, distortion models are commonly used in Structure-from-Motion since they simplify measuring the reprojection error in images. Surprisingly, all previous minimal solvers for pose estimation with radial distortion use undistortion models. In this paper we aim to fill this gap in the literature by proposing the first minimal solvers which can jointly estimate distortion models together with camera pose. We present a general approach which can handle rational models of arbitrary degree for both distortion and undistortion. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2da86b27-dd8c-487e-945e-069d0ed3a7ca
- author
- Larsson, Viktor LU ; Sattler, Torsten ; Kukelova, Zuzana and Pollefeys, Marc
- publishing date
- 2019
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
- pages
- 10 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
- conference location
- Seoul, Korea, Republic of
- conference dates
- 2019-10-27 - 2019-11-02
- external identifiers
-
- scopus:85081909851
- DOI
- 10.1109/ICCV.2019.00115
- language
- English
- LU publication?
- no
- id
- 2da86b27-dd8c-487e-945e-069d0ed3a7ca
- date added to LUP
- 2022-09-06 11:45:21
- date last changed
- 2022-09-23 18:44:11
@inproceedings{2da86b27-dd8c-487e-945e-069d0ed3a7ca,
abstract = {{To model radial distortion there are two main approaches; either the image points are undistorted such that they correspond to pinhole projections, or the pinhole projections are distorted such that they align with the image measurements. Depending on the application, either of the two approaches can be more suitable. For example, distortion models are commonly used in Structure-from-Motion since they simplify measuring the reprojection error in images. Surprisingly, all previous minimal solvers for pose estimation with radial distortion use undistortion models. In this paper we aim to fill this gap in the literature by proposing the first minimal solvers which can jointly estimate distortion models together with camera pose. We present a general approach which can handle rational models of arbitrary degree for both distortion and undistortion.}},
author = {{Larsson, Viktor and Sattler, Torsten and Kukelova, Zuzana and Pollefeys, Marc}},
booktitle = {{2019 IEEE/CVF International Conference on Computer Vision (ICCV)}},
language = {{eng}},
pages = {{1062--1071}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Revisiting radial distortion absolute pose}},
url = {{http://dx.doi.org/10.1109/ICCV.2019.00115}},
doi = {{10.1109/ICCV.2019.00115}},
year = {{2019}},
}