Camera Resectioning from a Box
(2009) Scandinavian Conferences on Image Analysis- Abstract
- In this paper we describe how we can do camera resectioning from a box with unknown dimensions, i.e. determine the camera model, assuming that image pixels are square. This assumption is equivalent to assuming that the camera as an aspect ratio of one and zero skew, and holds for most - if not all - digital cameras. Our proposed method works by first deriving 9 linear constraints on the projective camera matrix from the box, leaving a 3 dimensional subspace in which the projective camera matrix can lye. A single solution in this 3D subspace is then found via a method by Triggs in 1999, which uses the squared pixel assumption to set up a 4th degree polynomial to which the solution is the desired model. This approach is, however, numerically... (More)
- In this paper we describe how we can do camera resectioning from a box with unknown dimensions, i.e. determine the camera model, assuming that image pixels are square. This assumption is equivalent to assuming that the camera as an aspect ratio of one and zero skew, and holds for most - if not all - digital cameras. Our proposed method works by first deriving 9 linear constraints on the projective camera matrix from the box, leaving a 3 dimensional subspace in which the projective camera matrix can lye. A single solution in this 3D subspace is then found via a method by Triggs in 1999, which uses the squared pixel assumption to set up a 4th degree polynomial to which the solution is the desired model. This approach is, however, numerically challenging, and we use several means to combat this issue. Lastly the solution is refined in an iterative manner, i.e. using bundle adjustment. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1392838
- author
- Aanæs, Henrik ; Josephson, Klas LU ; Anton, François ; Bærentzen, J. Andreas and Kahl, Fredrik LU
- organization
- publishing date
- 2009
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Multiple view geometry, 3D modelling, Camera resectioning
- host publication
- Lecture Notes in Computer Science
- pages
- 10 pages
- publisher
- Springer
- conference name
- Scandinavian Conferences on Image Analysis
- conference location
- Oslo, Norway
- conference dates
- 2009-06-15 - 2009-06-18
- external identifiers
-
- scopus:70350646845
- ISSN
- 0302-9743
- 1611-3349
- language
- English
- LU publication?
- yes
- id
- c4489d89-7827-4c96-8205-29b4433c8492 (old id 1392838)
- date added to LUP
- 2016-04-01 11:45:16
- date last changed
- 2024-01-07 19:15:04
@inproceedings{c4489d89-7827-4c96-8205-29b4433c8492,
abstract = {{In this paper we describe how we can do camera resectioning from a box with unknown dimensions, i.e. determine the camera model, assuming that image pixels are square. This assumption is equivalent to assuming that the camera as an aspect ratio of one and zero skew, and holds for most - if not all - digital cameras. Our proposed method works by first deriving 9 linear constraints on the projective camera matrix from the box, leaving a 3 dimensional subspace in which the projective camera matrix can lye. A single solution in this 3D subspace is then found via a method by Triggs in 1999, which uses the squared pixel assumption to set up a 4th degree polynomial to which the solution is the desired model. This approach is, however, numerically challenging, and we use several means to combat this issue. Lastly the solution is refined in an iterative manner, i.e. using bundle adjustment.}},
author = {{Aanæs, Henrik and Josephson, Klas and Anton, François and Bærentzen, J. Andreas and Kahl, Fredrik}},
booktitle = {{Lecture Notes in Computer Science}},
issn = {{0302-9743}},
keywords = {{Multiple view geometry; 3D modelling; Camera resectioning}},
language = {{eng}},
publisher = {{Springer}},
title = {{Camera Resectioning from a Box}},
url = {{https://lup.lub.lu.se/search/files/2626711/1392842.pdf}},
year = {{2009}},
}