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Euclidean Reconstruction from Constant Intrinsic Parameters

Heyden, Anders LU orcid and Åström, Karl LU orcid (1996) 13th International Conference on Pattern Recognition, (ICPR 1996) 1. p.339-343
Abstract
A new method for Euclidean reconstruction from sequences of images taken by uncalibrated cameras, with constant intrinsic parameters, is described. Our approach leads to a variant of the so called Kruppa equations. It is shown that it is possible to calculate the intrinsic parameters as well as the Euclidean reconstruction from at least three images. The novelty of our approach is that we build our calculation on a projective reconstruction obtained without the assumption on constant intrinsic parameters. This assumption simplifies the analysis, because a projective reconstruction is already obtained and we need “only” to find the correct Euclidean reconstruction among all possible projective reconstructions
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
image reconstruction, image sequences, matrix algebra
host publication
[Host publication title missing]
volume
1
pages
339 - 343
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
13th International Conference on Pattern Recognition, (ICPR 1996)
conference location
Vienna, Austria
conference dates
1996-08-25 - 1996-08-29
external identifiers
  • scopus:84898834635
ISBN
0 8186 7282 X
DOI
10.1109/ICPR.1996.546045
language
English
LU publication?
yes
id
400d4984-2957-43f7-9bf3-1c2ed237b88a (old id 787294)
alternative location
http://ieeexplore.ieee.org/iel3/3995/11502/00546045.pdf?tp=&arnumber=546045&isnumber=11502
date added to LUP
2016-04-04 11:21:10
date last changed
2023-11-30 15:22:47
@inproceedings{400d4984-2957-43f7-9bf3-1c2ed237b88a,
  abstract     = {{A new method for Euclidean reconstruction from sequences of images taken by uncalibrated cameras, with constant intrinsic parameters, is described. Our approach leads to a variant of the so called Kruppa equations. It is shown that it is possible to calculate the intrinsic parameters as well as the Euclidean reconstruction from at least three images. The novelty of our approach is that we build our calculation on a projective reconstruction obtained without the assumption on constant intrinsic parameters. This assumption simplifies the analysis, because a projective reconstruction is already obtained and we need “only” to find the correct Euclidean reconstruction among all possible projective reconstructions}},
  author       = {{Heyden, Anders and Åström, Karl}},
  booktitle    = {{[Host publication title missing]}},
  isbn         = {{0 8186 7282 X}},
  keywords     = {{image reconstruction; image sequences; matrix algebra}},
  language     = {{eng}},
  pages        = {{339--343}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Euclidean Reconstruction from Constant Intrinsic Parameters}},
  url          = {{http://dx.doi.org/10.1109/ICPR.1996.546045}},
  doi          = {{10.1109/ICPR.1996.546045}},
  volume       = {{1}},
  year         = {{1996}},
}