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Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point

Heyden, Anders LU and Åström, Karl LU (1997) IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 In Proceedings Conference on Computer Vision and Pattern Recognition p.438-443
Abstract
The special case of reconstruction from image sequences taken by cameras with skew equal to 0 and aspect ratio equal to 1 has been treated. These type of cameras, here called cameras with Euclidean image planes, represent rigid projections where neither the principal point nor the focal length is known, it is shown that it is possible to reconstruct an unknown object from images taken by a camera with Euclidean image plane up to similarity transformations, i.e., Euclidean transformations plus changes in the global scale. An algorithm, using bundle adjustment techniques, has been implemented. The performance of the algorithm is shown on simulated data
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
cameras, unknown principal point, varying principal point, unknown focal length, image sequences, varying focal length, Euclidean reconstruction, skew, aspect ratio, Euclidean image planes, rigid projections, unknown object reconstruction, similarity transformations, Euclidean transformations, global scale, algorithm performance, bundle adjustment techniques, simulated data, image reconstruction
in
Proceedings Conference on Computer Vision and Pattern Recognition
pages
438 - 443
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997
external identifiers
  • Scopus:0030689146
ISBN
0 8186 7822 4
DOI
10.1109/CVPR.1997.609362
language
English
LU publication?
yes
id
b2f835b0-9fe8-4268-8655-4e625f4af390 (old id 787291)
date added to LUP
2008-09-16 14:14:51
date last changed
2016-10-13 04:37:48
@misc{b2f835b0-9fe8-4268-8655-4e625f4af390,
  abstract     = {The special case of reconstruction from image sequences taken by cameras with skew equal to 0 and aspect ratio equal to 1 has been treated. These type of cameras, here called cameras with Euclidean image planes, represent rigid projections where neither the principal point nor the focal length is known, it is shown that it is possible to reconstruct an unknown object from images taken by a camera with Euclidean image plane up to similarity transformations, i.e., Euclidean transformations plus changes in the global scale. An algorithm, using bundle adjustment techniques, has been implemented. The performance of the algorithm is shown on simulated data},
  author       = {Heyden, Anders and Åström, Karl},
  isbn         = {0 8186 7822 4},
  keyword      = {cameras,unknown principal point,varying principal point,unknown focal length,image sequences,varying focal length,Euclidean reconstruction,skew,aspect ratio,Euclidean image planes,rigid projections,unknown object reconstruction,similarity transformations,Euclidean transformations,global scale,algorithm performance,bundle adjustment techniques,simulated data,image reconstruction},
  language     = {eng},
  pages        = {438--443},
  publisher    = {ARRAY(0x8463208)},
  series       = {Proceedings Conference on Computer Vision and Pattern Recognition},
  title        = {Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point},
  url          = {http://dx.doi.org/10.1109/CVPR.1997.609362},
  year         = {1997},
}