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Structure from Motion Estimation with Positional Cues

Svärm, Linus LU and Oskarsson, Magnus LU orcid (2013) 18th Scandinavian Conference on Image Analysis (SCIA 2013) 7944. p.522-532
Abstract
We present a system for structure from motion estimation using additional positioning data such as GPS data. The system incorporates the additional data in the outlier detection, the initial estimates and the final bundle adjustment. The initial solution is based on a novel objective function which is solved using convex optimization. This objective function is also used for outlier detection and removal. The initial solution is then refined based on a novel near $L_2$ minimization of the reprojection error using convex optimization methods. We present results on synthetic and real data, that shows the robustness, accuracy and speed of the proposed method.
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
host publication
Lecture Notes in Computer Science (Image Analysis : 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings)
editor
Kämäräinen, Joni-Kristian and Koskela, Markus
volume
7944
pages
11 pages
publisher
Springer
conference name
18th Scandinavian Conference on Image Analysis (SCIA 2013)
conference location
Espoo, Finland
conference dates
2013-06-17 - 2013-06-20
external identifiers
  • wos:000342988500049
  • scopus:84884492388
ISSN
1611-3349
0302-9743
ISBN
978-3-642-38885-9 (print)
978-3-642-38886-6 (online)
DOI
10.1007/978-3-642-38886-6_49
language
English
LU publication?
yes
id
5a336208-2ddb-47e5-9496-35f51b79f407 (old id 4359722)
alternative location
http://link.springer.com/chapter/10.1007%2F978-3-642-38886-6_49
date added to LUP
2016-04-01 10:26:22
date last changed
2024-01-06 16:36:51
@inproceedings{5a336208-2ddb-47e5-9496-35f51b79f407,
  abstract     = {{We present a system for structure from motion estimation using additional positioning data such as GPS data. The system incorporates the additional data in the outlier detection, the initial estimates and the final bundle adjustment. The initial solution is based on a novel objective function which is solved using convex optimization. This objective function is also used for outlier detection and removal. The initial solution is then refined based on a novel near $L_2$ minimization of the reprojection error using convex optimization methods. We present results on synthetic and real data, that shows the robustness, accuracy and speed of the proposed method.}},
  author       = {{Svärm, Linus and Oskarsson, Magnus}},
  booktitle    = {{Lecture Notes in Computer Science (Image Analysis : 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings)}},
  editor       = {{Kämäräinen, Joni-Kristian and Koskela, Markus}},
  isbn         = {{978-3-642-38885-9 (print)}},
  issn         = {{1611-3349}},
  language     = {{eng}},
  pages        = {{522--532}},
  publisher    = {{Springer}},
  title        = {{Structure from Motion Estimation with Positional Cues}},
  url          = {{http://dx.doi.org/10.1007/978-3-642-38886-6_49}},
  doi          = {{10.1007/978-3-642-38886-6_49}},
  volume       = {{7944}},
  year         = {{2013}},
}