Camera Resectioning from a Box
(2009) Scandinavian Conferences on Image Analysis In Lecture Notes in Computer Science 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:
http://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
 in
 Lecture Notes in Computer Science
 pages
 10 pages
 publisher
 Springer
 conference name
 Scandinavian Conferences on Image Analysis
 external identifiers

 scopus:70350646845
 ISSN
 03029743
 16113349
 language
 English
 LU publication?
 yes
 id
 c4489d8978274c96820529b4433c8492 (old id 1392838)
 date added to LUP
 20090505 13:10:57
 date last changed
 20180107 05:20:02
@inproceedings{c4489d8978274c96820529b4433c8492, 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 = {03029743}, keyword = {Multiple view geometry,3D modelling,Camera resectioning}, language = {eng}, pages = {10}, publisher = {Springer}, title = {Camera Resectioning from a Box}, year = {2009}, }