Covariance Propagation and Next Best View Planning for 3D Reconstruction
Haner, Sebastian LU and Heyden, Anders LU
(2012)
12th European Conference on Computer Vision (ECCV 2012)
7573.
p.545-556
- Abstract
- This paper examines the potential benefits of applying next best view planning to sequential 3D reconstruction from unordered image sequences. A standard sequential structure-and-motion pipeline is extended with active selection of the order in which cameras are resectioned. To this end, approximate covariance propagation is implemented throughout the system, providing running estimates of the uncertainties of the reconstruction, while also enhancing robustness and accuracy. Experiments show that the use of expensive global bundle adjustment can be reduced throughout the process, while the additional cost of propagation is essentially linear in the problem size.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4986135
- author
- Haner, Sebastian
LU
and Heyden, Anders
LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Computer Vision – ECCV 2012 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II (Lecture Notes in Computer Science 7573)
- editor
- Fitzgibbon, Andrew ; Lazebnik, Svetlana ; Perona, Pietro ; Sato, Yoichi and Schmid, Cordelia
- volume
- 7573
- pages
- 12 pages
- publisher
- Springer
- conference name
- 12th European Conference on Computer Vision (ECCV 2012)
- conference location
- Florence, Italy
- conference dates
- 2012-10-07 - 2012-10-13
- external identifiers
-
- scopus:84867865196
- ISSN
- 1611-3349
- 0302-9743
- ISBN
- 978-3-642-33709-3
- 978-3-642-33708-6 (Print)
- DOI
- 10.1007/978-3-642-33709-3_39
- language
- English
- LU publication?
- yes
- id
- 5c91f2f7-5c27-4f78-9056-d01fe601b9d2 (old id 4986135)
- alternative location
- http://link.springer.com/chapter/10.1007/978-3-642-33709-3_39
- date added to LUP
- 2016-04-01 11:05:19
- date last changed
- 2024-02-05 20:22:29
@inproceedings{5c91f2f7-5c27-4f78-9056-d01fe601b9d2,
abstract = {{This paper examines the potential benefits of applying next best view planning to sequential 3D reconstruction from unordered image sequences. A standard sequential structure-and-motion pipeline is extended with active selection of the order in which cameras are resectioned. To this end, approximate covariance propagation is implemented throughout the system, providing running estimates of the uncertainties of the reconstruction, while also enhancing robustness and accuracy. Experiments show that the use of expensive global bundle adjustment can be reduced throughout the process, while the additional cost of propagation is essentially linear in the problem size.}},
author = {{Haner, Sebastian and Heyden, Anders}},
booktitle = {{Computer Vision – ECCV 2012 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II (Lecture Notes in Computer Science 7573)}},
editor = {{Fitzgibbon, Andrew and Lazebnik, Svetlana and Perona, Pietro and Sato, Yoichi and Schmid, Cordelia}},
isbn = {{978-3-642-33709-3}},
issn = {{1611-3349}},
language = {{eng}},
pages = {{545--556}},
publisher = {{Springer}},
title = {{Covariance Propagation and Next Best View Planning for 3D Reconstruction}},
url = {{https://lup.lub.lu.se/search/files/2369723/4986152.pdf}},
doi = {{10.1007/978-3-642-33709-3_39}},
volume = {{7573}},
year = {{2012}},
}