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Euclidean Reconstruction from Constant Intrinsic Parameters

Heyden, Anders LU and Åström, Karl LU (1996) 13th International Conference on Pattern Recognition, (ICPR 1996) In [Host publication title missing] 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
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
image reconstruction, image sequences, matrix algebra
in
[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)
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
2008-03-31 17:05:28
date last changed
2016-10-13 04:45:16
@misc{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},
  isbn         = {0 8186 7282 X},
  keyword      = {image reconstruction,image sequences,matrix algebra},
  language     = {eng},
  pages        = {339--343},
  publisher    = {ARRAY(0x82019e8)},
  series       = {[Host publication title missing]},
  title        = {Euclidean Reconstruction from Constant Intrinsic Parameters},
  url          = {http://dx.doi.org/10.1109/ICPR.1996.546045},
  volume       = {1},
  year         = {1996},
}