A comparison of iterative 2D-3D pose estimation methods for real-time applications
Grest, Daniel ; Petersen, Thomas and Krüger, Volker LU
(2009)
16th Scandinavian Conference on Image Analysis, SCIA 2009
In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5575 LNCS.
p.706-715
- Abstract
This work compares iterative 2D-3D Pose Estimation methods for use in real-time applications. The compared methods are available for public as C++ code. One method is part of the openCV library, namely POSIT. Because POSIT is not applicable for planar 3D-point configurations, we include the planar POSIT version. The second method optimizes the pose parameters directly by solving a Non-linear Least Squares problem which minimizes the reprojection error. For reference the Direct Linear Transform (DLT) for estimation of the projection matrix is inlcuded as well.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2fad4c31-2b5d-4128-bd74-7f2704556c6b
- author
- Grest, Daniel
; Petersen, Thomas
and Krüger, Volker
LU
- publishing date
- 2009-11-09
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- host publication
- Image Analysis - 16th Scandinavian Conference, SCIA 2009, Proceedings
- series title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- volume
- 5575 LNCS
- pages
- 10 pages
- conference name
- 16th Scandinavian Conference on Image Analysis, SCIA 2009
- conference location
- Oslo, Norway
- conference dates
- 2009-06-15 - 2009-06-18
- external identifiers
-
- scopus:70350655465
- ISSN
- 1611-3349
- 0302-9743
- ISBN
- 3642022294
- 9783642022296
- DOI
- 10.1007/978-3-642-02230-2_72
- language
- English
- LU publication?
- no
- id
- 2fad4c31-2b5d-4128-bd74-7f2704556c6b
- date added to LUP
- 2019-06-28 09:24:52
- date last changed
- 2025-01-09 17:31:28
@inproceedings{2fad4c31-2b5d-4128-bd74-7f2704556c6b,
abstract = {{<p>This work compares iterative 2D-3D Pose Estimation methods for use in real-time applications. The compared methods are available for public as C++ code. One method is part of the openCV library, namely POSIT. Because POSIT is not applicable for planar 3D-point configurations, we include the planar POSIT version. The second method optimizes the pose parameters directly by solving a Non-linear Least Squares problem which minimizes the reprojection error. For reference the Direct Linear Transform (DLT) for estimation of the projection matrix is inlcuded as well.</p>}},
author = {{Grest, Daniel and Petersen, Thomas and Krüger, Volker}},
booktitle = {{Image Analysis - 16th Scandinavian Conference, SCIA 2009, Proceedings}},
isbn = {{3642022294}},
issn = {{1611-3349}},
language = {{eng}},
month = {{11}},
pages = {{706--715}},
series = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}},
title = {{A comparison of iterative 2D-3D pose estimation methods for real-time applications}},
url = {{http://dx.doi.org/10.1007/978-3-642-02230-2_72}},
doi = {{10.1007/978-3-642-02230-2_72}},
volume = {{5575 LNCS}},
year = {{2009}},
}