Globally optimal 2D-3D registration from points or lines without correspondences
Conference paper
Brown, M., Windridge, D. and Guillemaut, J. 2015. Globally optimal 2D-3D registration from points or lines without correspondences. 2015 IEEE International Conference on Computer Vision (ICCV). Santiago, Chile 07 - 13 Dec 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 2111-2119 https://doi.org/10.1109/ICCV.2015.244
Type | Conference paper |
---|---|
Title | Globally optimal 2D-3D registration from points or lines without correspondences |
Authors | Brown, M., Windridge, D. and Guillemaut, J. |
Abstract | We present a novel approach to 2D-3D registration from points or lines without correspondences. While there exist established solutions in the case where correspondences are known, there are many situations where it is not possible to reliably extract such correspondences across modalities, thus requiring the use of a correspondence-free registration algorithm. Existing correspondence-free methods rely on local search strategies and consequently have no guarantee of finding the optimal solution. In contrast, we present the first globally optimal approach to 2D-3D registration without correspondences, achieved by a Branch-and-Bound algorithm. Furthermore, a deterministic annealing procedure is proposed to speed up the nested branch-and-bound algorithm used. The theoretical and practical advantages this brings are demonstrated on a range of synthetic and real data where it is observed that the proposed approach is significantly more robust to high proportions of outliers compared to existing approaches. |
Conference | 2015 IEEE International Conference on Computer Vision (ICCV) |
Page range | 2111-2119 |
ISSN | 1550-5499 |
ISBN | |
Hardcover | 9781467383905 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Publication dates | |
16 Dec 2015 | |
Publication process dates | |
Deposited | 22 Apr 2016 |
Accepted | 03 Sep 2015 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICCV.2015.244 |
Scopus EID | 2-s2.0-84973879795 |
Web of Science identifier | WOS:000380414100236 |
Language | English |
Book title | 2015 IEEE International Conference on Computer Vision (ICCV) |
https://repository.mdx.ac.uk/item/864v9
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