Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Global Trifocal Adjustment

Persson, Patrik LU orcid and Åström, Kalle LU orcid (2019) 21st Scandinavian Conference on Image Analysis, SCIA 2019 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11482 LNCS. p.287-298
Abstract

In this paper we introduce a fast and robust structure-less alternative to full bundle adjustment. The method is based on optimizing algebraic errors for trilinear constraints from triplets of views. It is shown that the error generated by a triplet of views can be described by a fixed triangular matrix regardless of the number of feature correspondences between the views. The method has been evaluated on various real and synthetic datasets and shows good convergence properties with a large convergence basin and solutions that are close to the optimal solution. The method has been compared to Global Epipolar Adjustment, GEA, which is based on the bilinear constraint. It will be shown that the method can handle the degenerate... (More)

In this paper we introduce a fast and robust structure-less alternative to full bundle adjustment. The method is based on optimizing algebraic errors for trilinear constraints from triplets of views. It is shown that the error generated by a triplet of views can be described by a fixed triangular matrix regardless of the number of feature correspondences between the views. The method has been evaluated on various real and synthetic datasets and shows good convergence properties with a large convergence basin and solutions that are close to the optimal solution. The method has been compared to Global Epipolar Adjustment, GEA, which is based on the bilinear constraint. It will be shown that the method can handle the degenerate configurations of GEA.

(Less)
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
Optimization, SFM, Structure-less bundle adjustment
host publication
Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings
series title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
editor
Felsberg, Michael ; Forssén, Per-Erik ; Unger, Jonas and Sintorn, Ida-Maria
volume
11482 LNCS
pages
12 pages
publisher
Springer
conference name
21st Scandinavian Conference on Image Analysis, SCIA 2019
conference location
Norrköping, Sweden
conference dates
2019-06-11 - 2019-06-13
external identifiers
  • scopus:85066887999
ISSN
1611-3349
0302-9743
ISBN
9783030202040
DOI
10.1007/978-3-030-20205-7_24
language
English
LU publication?
yes
id
a86e485e-5a07-4a78-be50-ef43a363ad54
date added to LUP
2019-06-19 14:25:18
date last changed
2024-06-25 19:32:29
@inproceedings{a86e485e-5a07-4a78-be50-ef43a363ad54,
  abstract     = {{<p>In this paper we introduce a fast and robust structure-less alternative to full bundle adjustment. The method is based on optimizing algebraic errors for trilinear constraints from triplets of views. It is shown that the error generated by a triplet of views can be described by a fixed triangular matrix regardless of the number of feature correspondences between the views. The method has been evaluated on various real and synthetic datasets and shows good convergence properties with a large convergence basin and solutions that are close to the optimal solution. The method has been compared to Global Epipolar Adjustment, GEA, which is based on the bilinear constraint. It will be shown that the method can handle the degenerate configurations of GEA.</p>}},
  author       = {{Persson, Patrik and Åström, Kalle}},
  booktitle    = {{Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings}},
  editor       = {{Felsberg, Michael and Forssén, Per-Erik and Unger, Jonas and Sintorn, Ida-Maria}},
  isbn         = {{9783030202040}},
  issn         = {{1611-3349}},
  keywords     = {{Optimization; SFM; Structure-less bundle adjustment}},
  language     = {{eng}},
  pages        = {{287--298}},
  publisher    = {{Springer}},
  series       = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}},
  title        = {{Global Trifocal Adjustment}},
  url          = {{http://dx.doi.org/10.1007/978-3-030-20205-7_24}},
  doi          = {{10.1007/978-3-030-20205-7_24}},
  volume       = {{11482 LNCS}},
  year         = {{2019}},
}