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

A Triangle Division Based Point Matching for Image Registration

Authors
Jian Chen, Dan Zeng, Chen Kang, Zhijiang Zhang
Corresponding Author
Jian Chen
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.142How to use a DOI?
Keywords
Image Registration, Feature Matching, Delaunay Based Triangulation, Topology based Matching
Abstract
One basic requirement of image registration is the high precision of point matching. In this paper, we present a simple and robust method to get more accurate matching points by using the structural information of divided triangles. The method initially construct triangles using Delaunay Triangulation which considering rough matched points as vertices, and then iteratively removes outliers until obtain the consensus topology structure. An algorithm called K-Nearest Neighbor Dis-ratio is also presented to avoiding mismatches. Compared with RANSAC and GTM, Our proposed method acquires more inliers and demonstrates higher matching accuracy.
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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.2013.142How 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  - Jian Chen
AU  - Dan Zeng
AU  - Chen Kang
AU  - Zhijiang Zhang
PY  - 2013/04
DA  - 2013/04
TI  - A Triangle Division Based Point Matching for Image Registration
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.142
DO  - https://doi.org/10.2991/icsem.2013.142
ID  - Chen2013/04
ER  -