Triangulation of Points, Lines and Conics
(2008) In Journal of Mathematical Imaging and Vision 32(2). p.215-225- Abstract
- The problem of reconstructing 3D scene features from multiple views with known camera motion and given image correspondences is considered. This is a classical and one of the most basic geometric problems in computer vision and photogrammetry. Yet, previous methods fail to guarantee optimal reconstructions—they are either plagued by local minima or rely on a non-optimal cost-function. A common framework for the triangulation problem of points, lines and conics is presented. We define what is meant by an optimal triangulation based on statistical principles and then derive an algorithm for computing the globally optimal solution. The method for achieving the global minimum is based on convex and concave relaxations for both fractionals and... (More)
- The problem of reconstructing 3D scene features from multiple views with known camera motion and given image correspondences is considered. This is a classical and one of the most basic geometric problems in computer vision and photogrammetry. Yet, previous methods fail to guarantee optimal reconstructions—they are either plagued by local minima or rely on a non-optimal cost-function. A common framework for the triangulation problem of points, lines and conics is presented. We define what is meant by an optimal triangulation based on statistical principles and then derive an algorithm for computing the globally optimal solution. The method for achieving the global minimum is based on convex and concave relaxations for both fractionals and monomials. The performance of the method is evaluated on real image data. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1152267
- author
- Josephson, Klas LU and Kahl, Fredrik LU
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Triangulation, Global optimization, RATIOS PROBLEM, SUM
- in
- Journal of Mathematical Imaging and Vision
- volume
- 32
- issue
- 2
- pages
- 215 - 225
- publisher
- Springer
- external identifiers
-
- wos:000258539200007
- scopus:49749109115
- ISSN
- 0924-9907
- DOI
- 10.1007/s10851-008-0097-y
- language
- English
- LU publication?
- yes
- id
- ebc465a0-39cb-4b27-b0f8-a05186607a56 (old id 1152267)
- alternative location
- http://www.maths.lth.se/vision/publdb/reports/pdf/josephson-kahl-jmiv-08.pdf
- date added to LUP
- 2016-04-01 13:00:41
- date last changed
- 2022-03-21 08:05:56
@article{ebc465a0-39cb-4b27-b0f8-a05186607a56,
abstract = {{The problem of reconstructing 3D scene features from multiple views with known camera motion and given image correspondences is considered. This is a classical and one of the most basic geometric problems in computer vision and photogrammetry. Yet, previous methods fail to guarantee optimal reconstructions—they are either plagued by local minima or rely on a non-optimal cost-function. A common framework for the triangulation problem of points, lines and conics is presented. We define what is meant by an optimal triangulation based on statistical principles and then derive an algorithm for computing the globally optimal solution. The method for achieving the global minimum is based on convex and concave relaxations for both fractionals and monomials. The performance of the method is evaluated on real image data.}},
author = {{Josephson, Klas and Kahl, Fredrik}},
issn = {{0924-9907}},
keywords = {{Triangulation; Global optimization; RATIOS PROBLEM; SUM}},
language = {{eng}},
number = {{2}},
pages = {{215--225}},
publisher = {{Springer}},
series = {{Journal of Mathematical Imaging and Vision}},
title = {{Triangulation of Points, Lines and Conics}},
url = {{https://lup.lub.lu.se/search/files/3104483/1245128.pdf}},
doi = {{10.1007/s10851-008-0097-y}},
volume = {{32}},
year = {{2008}},
}