Multi-sensor image registration by combination of Relaxation Optimization matching and Partitioning RANSAC
Yingdan Wu, Yang Ming
Available Online April 2013.
- https://doi.org/10.2991/icsem.2013.191How to use a DOI?
- multi-sensor, image registration, relaxation optimization, RANSAC
- 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.
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 SP - 917 EP - 920 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 -