2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Multi-sensor image registration by combination of Relaxation Optimization matching and Partitioning RANSAC

Authors
Yingdan Wu, Yang Ming
Corresponding Author
Yingdan Wu
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.191How to use a DOI?
Keywords
multi-sensor, image registration, relaxation optimization, RANSAC
Abstract
This paper presents a multi-sensor image registration method by combination of relaxation optimization matching and Partitioning RANSAC. Firstly, the global coarse registration is performed to establish the approximate relationship of reference and slave image. Secondly, in each pyramid level, the normalized MI and relaxation optimization technique are adopted to get the matching points, and partitioning RANSAC is used to delete the existing false matches. The coarse-to-fine strategy is integrated to refine the results, and finally the rubber sheeting method is used to realize the image registration. Two datasets have been experimented, and it can be found that satisfactory registration method can be obtained.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.191How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yingdan Wu
AU  - Yang Ming
PY  - 2013/04
DA  - 2013/04
TI  - Multi-sensor image registration by combination of Relaxation Optimization matching and Partitioning RANSAC
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.191
DO  - https://doi.org/10.2991/icsem.2013.191
ID  - Wu2013/04
ER  -