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Calibration-free structure-from-motion with calibrated radial trifocal tensors

Larsson, Viktor LU ; Zobernig, Nicolas ; Taskin, Kasim and Pollefeys, Marc (2020) 16th European Conference on Computer Vision, ECCV 2020 In Lecture Notes in Computer Science 12350. p.382-399
Abstract
In this paper we consider the problem of Structure-from-Motion from images with unknown intrinsic calibration. Instead of estimating the internal camera parameters through some self-calibration procedure, we propose to use a subset of the reprojection constraints that is invariant to radial displacement. This allows us to recover metric 3D reconstructions without explicitly estimating the cameras’ focal length or radial distortion parameters. The weaker projection model makes initializing the reconstruction especially difficult. To handle this additional challenge we propose two novel minimal solvers for radial trifocal tensor estimation. We evaluate our approach on real images and show that even for extreme optical systems, such as... (More)
In this paper we consider the problem of Structure-from-Motion from images with unknown intrinsic calibration. Instead of estimating the internal camera parameters through some self-calibration procedure, we propose to use a subset of the reprojection constraints that is invariant to radial displacement. This allows us to recover metric 3D reconstructions without explicitly estimating the cameras’ focal length or radial distortion parameters. The weaker projection model makes initializing the reconstruction especially difficult. To handle this additional challenge we propose two novel minimal solvers for radial trifocal tensor estimation. We evaluate our approach on real images and show that even for extreme optical systems, such as fisheye or catadioptric, we are able to get accurate reconstructions without performing any calibration. (Less)
Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V
series title
Lecture Notes in Computer Science
volume
12350
pages
18 pages
publisher
Springer
conference name
16th European Conference on Computer Vision, ECCV 2020
conference location
Glasgow, United Kingdom
conference dates
2020-08-23 - 2020-08-28
external identifiers
  • scopus:85097421830
ISSN
1611-3349
0302-9743
ISBN
978-3-030-58451-1
978-3-030-58452-8
DOI
10.1007/978-3-030-58558-7_23
language
English
LU publication?
no
id
816a2bf9-58d8-4e07-80d4-9984a08d5c12
date added to LUP
2022-09-06 13:17:14
date last changed
2024-03-21 13:27:49
@inproceedings{816a2bf9-58d8-4e07-80d4-9984a08d5c12,
  abstract     = {{In this paper we consider the problem of Structure-from-Motion from images with unknown intrinsic calibration. Instead of estimating the internal camera parameters through some self-calibration procedure, we propose to use a subset of the reprojection constraints that is invariant to radial displacement. This allows us to recover metric 3D reconstructions without explicitly estimating the cameras’ focal length or radial distortion parameters. The weaker projection model makes initializing the reconstruction especially difficult. To handle this additional challenge we propose two novel minimal solvers for radial trifocal tensor estimation. We evaluate our approach on real images and show that even for extreme optical systems, such as fisheye or catadioptric, we are able to get accurate reconstructions without performing any calibration.}},
  author       = {{Larsson, Viktor and Zobernig, Nicolas and Taskin, Kasim and Pollefeys, Marc}},
  booktitle    = {{Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V}},
  isbn         = {{978-3-030-58451-1}},
  issn         = {{1611-3349}},
  language     = {{eng}},
  pages        = {{382--399}},
  publisher    = {{Springer}},
  series       = {{Lecture Notes in Computer Science}},
  title        = {{Calibration-free structure-from-motion with calibrated radial trifocal tensors}},
  url          = {{http://dx.doi.org/10.1007/978-3-030-58558-7_23}},
  doi          = {{10.1007/978-3-030-58558-7_23}},
  volume       = {{12350}},
  year         = {{2020}},
}