Revisiting Trifocal Tensor Estimation Using Lines
Kuang, Yubin LU ; Oskarsson, Magnus LU
and Åström, Karl
LU
(2014)
22nd International Conference on Pattern Recognition (ICPR 2014)
p.2419-2423
- Abstract
- In this paper, we revisit the problem of estimating the trifocal tensor from image line measurements. With measurements of corresponding lines in three views, a linear method [1] requiring 13 lines was developed to estimate the trifocal tensor from which projective reconstruction of the scene is made possible. By further utilizing the nonlinear constraints on the trifocal tensor, we propose several new linear solvers that require fewer number of lines (10,11,12) than the previous linear method. We use methods based on algebraic geometry to incorporate the non-linear constraints in the estimation. We demonstrate the performance of the proposed solvers on synthetic data. We also test the solvers on real images and obtain promising results.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5052500
- author
- Kuang, Yubin
LU
; Oskarsson, Magnus
LU
and Åström, Karl
LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Pattern Recognition (ICPR), 2014 22nd International Conference on
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 22nd International Conference on Pattern Recognition (ICPR 2014)
- conference location
- Stockholm, Sweden
- conference dates
- 2014-08-24 - 2014-08-28
- external identifiers
-
- wos:000359818002090
- scopus:84919934810
- ISSN
- 1051-4651
- DOI
- 10.1109/ICPR.2014.419
- language
- English
- LU publication?
- yes
- id
- 127ea038-ad83-4ab0-8bc5-e65e7543851c (old id 5052500)
- date added to LUP
- 2016-04-01 13:37:22
- date last changed
- 2022-03-14 01:03:49
@inproceedings{127ea038-ad83-4ab0-8bc5-e65e7543851c,
abstract = {{In this paper, we revisit the problem of estimating the trifocal tensor from image line measurements. With measurements of corresponding lines in three views, a linear method [1] requiring 13 lines was developed to estimate the trifocal tensor from which projective reconstruction of the scene is made possible. By further utilizing the nonlinear constraints on the trifocal tensor, we propose several new linear solvers that require fewer number of lines (10,11,12) than the previous linear method. We use methods based on algebraic geometry to incorporate the non-linear constraints in the estimation. We demonstrate the performance of the proposed solvers on synthetic data. We also test the solvers on real images and obtain promising results.}},
author = {{Kuang, Yubin and Oskarsson, Magnus and Åström, Karl}},
booktitle = {{Pattern Recognition (ICPR), 2014 22nd International Conference on}},
issn = {{1051-4651}},
language = {{eng}},
pages = {{2419--2423}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Revisiting Trifocal Tensor Estimation Using Lines}},
url = {{http://dx.doi.org/10.1109/ICPR.2014.419}},
doi = {{10.1109/ICPR.2014.419}},
year = {{2014}},
}