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Optimal estimation of perspective camera pose

Olsson, Carl LU ; Kahl, Fredrik LU and Oskarsson, Magnus LU (2006) 18th International Conference on Pattern Recognition, ICPR 2006 2. p.5-8
Abstract
In this paper we propose apractical and efficient method for finding the globally optimal solution to the problem of camera pose estimation for calibrated cameras. While traditional methods may get trapped in local minima, due to the non-convexity of the problem, we have developed an approach that guarantees global optimality. The scheme is based on ideas from global optimization theory, in particular, convex under-estimators in combination with branch and bound. We provide aprovably optimal algorithm and demonstrate good performance on both synthetic and real data.
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
Calibrated cameras, Global optimization theory, Camera pose estimation
host publication
Proceedings - International Conference on Pattern Recognition
volume
2
pages
5 - 8
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
18th International Conference on Pattern Recognition, ICPR 2006
conference location
Hong Kong, China
conference dates
2006-08-20 - 2006-08-24
external identifiers
  • wos:000240678300002
  • scopus:34047218043
ISSN
1051-4651
DOI
10.1109/ICPR.2006.909
language
English
LU publication?
yes
id
9597a773-c9b2-49f7-923a-323b92eb302b (old id 617183)
date added to LUP
2016-04-01 16:48:45
date last changed
2021-02-17 08:15:21
@inproceedings{9597a773-c9b2-49f7-923a-323b92eb302b,
  abstract     = {In this paper we propose apractical and efficient method for finding the globally optimal solution to the problem of camera pose estimation for calibrated cameras. While traditional methods may get trapped in local minima, due to the non-convexity of the problem, we have developed an approach that guarantees global optimality. The scheme is based on ideas from global optimization theory, in particular, convex under-estimators in combination with branch and bound. We provide aprovably optimal algorithm and demonstrate good performance on both synthetic and real data.},
  author       = {Olsson, Carl and Kahl, Fredrik and Oskarsson, Magnus},
  booktitle    = {Proceedings - International Conference on Pattern Recognition},
  issn         = {1051-4651},
  language     = {eng},
  pages        = {5--8},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {Optimal estimation of perspective camera pose},
  url          = {http://dx.doi.org/10.1109/ICPR.2006.909},
  doi          = {10.1109/ICPR.2006.909},
  volume       = {2},
  year         = {2006},
}