Generalization of Parameter Recovery in Binocular Vision for a Planar Scene
(2019) In International Journal of Pattern Recognition and Artificial Intelligence 33(11).- Abstract
In this paper, we consider a mobile platform with two cameras directed towards the floor. In earlier work, this specific problem geometry has been considered under the assumption that the cameras have been mounted at the same height. This paper extends the previous work by removing the height constraint, as it is hard to realize in real-life applications. We develop a method based on an equivalent problem geometry, and show that much of previous work can be reused with small modification to account for the height difference. A fast solver for the resulting nonconvex optimization problem is devised. Furthermore, we propose a second method for estimating the height difference by constraining the mobile platform to pure translations. This... (More)
In this paper, we consider a mobile platform with two cameras directed towards the floor. In earlier work, this specific problem geometry has been considered under the assumption that the cameras have been mounted at the same height. This paper extends the previous work by removing the height constraint, as it is hard to realize in real-life applications. We develop a method based on an equivalent problem geometry, and show that much of previous work can be reused with small modification to account for the height difference. A fast solver for the resulting nonconvex optimization problem is devised. Furthermore, we propose a second method for estimating the height difference by constraining the mobile platform to pure translations. This is intended to simulate a calibration sequence, which is not uncommon to impose. Experiments are conducted using synthetic data, and the results demonstrate a robust method for determining the relative parameters comparable to previous work.
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- author
- Örnhag, Marcus Valtonen LU and Heyden, Anders LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- binocular vision, homography, planar motion, Relative pose estimation, SLAM, visual odometry
- in
- International Journal of Pattern Recognition and Artificial Intelligence
- volume
- 33
- issue
- 11
- article number
- 1940011
- publisher
- World Scientific Publishing
- external identifiers
-
- scopus:85062627714
- ISSN
- 0218-0014
- DOI
- 10.1142/S0218001419400111
- language
- English
- LU publication?
- yes
- id
- ec0babb2-d012-4f32-856e-ccaada25b8ef
- date added to LUP
- 2019-03-19 11:20:48
- date last changed
- 2023-10-21 01:34:14
@article{ec0babb2-d012-4f32-856e-ccaada25b8ef, abstract = {{<p>In this paper, we consider a mobile platform with two cameras directed towards the floor. In earlier work, this specific problem geometry has been considered under the assumption that the cameras have been mounted at the same height. This paper extends the previous work by removing the height constraint, as it is hard to realize in real-life applications. We develop a method based on an equivalent problem geometry, and show that much of previous work can be reused with small modification to account for the height difference. A fast solver for the resulting nonconvex optimization problem is devised. Furthermore, we propose a second method for estimating the height difference by constraining the mobile platform to pure translations. This is intended to simulate a calibration sequence, which is not uncommon to impose. Experiments are conducted using synthetic data, and the results demonstrate a robust method for determining the relative parameters comparable to previous work.</p>}}, author = {{Örnhag, Marcus Valtonen and Heyden, Anders}}, issn = {{0218-0014}}, keywords = {{binocular vision; homography; planar motion; Relative pose estimation; SLAM; visual odometry}}, language = {{eng}}, number = {{11}}, publisher = {{World Scientific Publishing}}, series = {{International Journal of Pattern Recognition and Artificial Intelligence}}, title = {{Generalization of Parameter Recovery in Binocular Vision for a Planar Scene}}, url = {{http://dx.doi.org/10.1142/S0218001419400111}}, doi = {{10.1142/S0218001419400111}}, volume = {{33}}, year = {{2019}}, }