Simultaneous Reconstruction of Scene Structure and Camera Locations from Uncalibrated Image Sequences
(1996) 13th International Conference on Pattern Recognition, (ICPR 1996) 1. p.328-333- Abstract
- The paper deals with the structure-motion problem for images of point configurations taken by uncalibrated cameras. Using a parametrisation by affine shape and kinetic depth, a complete and explicit characterisation of the imaging geometry is given, including the shape of the object configuration and the positions of the cameras relative to the scene. No epipolar geometry is used. It is shown that not only the projective but also the affine structure of the scene can be recovered when knowing the relative placement of five of the camera centres (four if they are coplanar). Variational algorithms for reconstruction and motion are presented, thus avoiding numerically unstable solving of algebraic equations. Any number of points in any number... (More)
- The paper deals with the structure-motion problem for images of point configurations taken by uncalibrated cameras. Using a parametrisation by affine shape and kinetic depth, a complete and explicit characterisation of the imaging geometry is given, including the shape of the object configuration and the positions of the cameras relative to the scene. No epipolar geometry is used. It is shown that not only the projective but also the affine structure of the scene can be recovered when knowing the relative placement of five of the camera centres (four if they are coplanar). Variational algorithms for reconstruction and motion are presented, thus avoiding numerically unstable solving of algebraic equations. Any number of points in any number of images can be treated simultaneously and uniformly, without preselection of reference points. The performances of the algorithms are illustrated on simulations and experiments (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/787499
- author
- Sparr, Gunnar LU
- organization
- publishing date
- 1996
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- computational geometry - computer vision - image reconstruction - image sequences - motion estimation - variational techniques, scene structure reconstruction - camera locations - uncalibrated image sequences - structure-motion - parametrisation - kinetic depth - imaging geometry - image recovery - camera centres - variational algorithms - structure motion analysis
- host publication
- Proceedings of the 13th International Conference on Pattern Recognition
- volume
- 1
- pages
- 328 - 333
- 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:84898834959
- ISBN
- 0 8186 7282 X
- DOI
- 10.1109/ICPR.1996.546043
- language
- English
- LU publication?
- yes
- id
- 4f49b101-bd7e-4bb4-9e54-76745632c1ff (old id 787499)
- date added to LUP
- 2016-04-04 10:16:27
- date last changed
- 2022-01-29 20:04:27
@inproceedings{4f49b101-bd7e-4bb4-9e54-76745632c1ff,
abstract = {{The paper deals with the structure-motion problem for images of point configurations taken by uncalibrated cameras. Using a parametrisation by affine shape and kinetic depth, a complete and explicit characterisation of the imaging geometry is given, including the shape of the object configuration and the positions of the cameras relative to the scene. No epipolar geometry is used. It is shown that not only the projective but also the affine structure of the scene can be recovered when knowing the relative placement of five of the camera centres (four if they are coplanar). Variational algorithms for reconstruction and motion are presented, thus avoiding numerically unstable solving of algebraic equations. Any number of points in any number of images can be treated simultaneously and uniformly, without preselection of reference points. The performances of the algorithms are illustrated on simulations and experiments}},
author = {{Sparr, Gunnar}},
booktitle = {{Proceedings of the 13th International Conference on Pattern Recognition}},
isbn = {{0 8186 7282 X}},
keywords = {{computational geometry - computer vision - image reconstruction - image sequences - motion estimation - variational techniques; scene structure reconstruction - camera locations - uncalibrated image sequences - structure-motion - parametrisation - kinetic depth - imaging geometry - image recovery - camera centres - variational algorithms - structure motion analysis}},
language = {{eng}},
pages = {{328--333}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Simultaneous Reconstruction of Scene Structure and Camera Locations from Uncalibrated Image Sequences}},
url = {{http://dx.doi.org/10.1109/ICPR.1996.546043}},
doi = {{10.1109/ICPR.1996.546043}},
volume = {{1}},
year = {{1996}},
}