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Contraction mapping calibration

Guilbert, Nicolas LU and Heyden, Anders LU (2005) In Lecture Notes in Computer Science 3804. p.678-683
Abstract
In this paper a new calibration scheme for recovering Euclidian camera parameters from their affine of projective primitives is presented. It is based on a contraction mapping implying that the obtained solution is unique, i.e. no local minimas threaten to yield a non-optimal solution. The approach unifies Euclidian calibration from affine and projective configurations and fewer cameras (m >= 2) need to be available than in traditional schemes. The algorithm is validated on synthetic and real data.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Lecture Notes in Computer Science
volume
3804
pages
678 - 683
publisher
Springer
external identifiers
  • wos:000234830800085
  • scopus:33744781552
ISSN
1611-3349
DOI
10.1007/11595755
language
English
LU publication?
yes
id
2b601dfc-6168-41d4-afc3-13bf3a2c89df (old id 209605)
date added to LUP
2007-08-07 13:38:35
date last changed
2017-01-01 04:35:42
@article{2b601dfc-6168-41d4-afc3-13bf3a2c89df,
  abstract     = {In this paper a new calibration scheme for recovering Euclidian camera parameters from their affine of projective primitives is presented. It is based on a contraction mapping implying that the obtained solution is unique, i.e. no local minimas threaten to yield a non-optimal solution. The approach unifies Euclidian calibration from affine and projective configurations and fewer cameras (m >= 2) need to be available than in traditional schemes. The algorithm is validated on synthetic and real data.},
  author       = {Guilbert, Nicolas and Heyden, Anders},
  issn         = {1611-3349},
  language     = {eng},
  pages        = {678--683},
  publisher    = {Springer},
  series       = {Lecture Notes in Computer Science},
  title        = {Contraction mapping calibration},
  url          = {http://dx.doi.org/10.1007/11595755},
  volume       = {3804},
  year         = {2005},
}