An Investigation into the performance and accuracy of Automatic Image Registration Using Epipolar Geometry
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Date
2018-07-03
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Geography and Environmental Management, University of Ilorin.
Abstract
Image registration has being of great importance to a variety of applications in remote sensing,
medical diagnosis, computer vision and pattern recognition. Owing to this, several methods have
been adopted by different researchers, with a view to enhance the performance and accuracy of
image registration process. This paper presents an investigation into the performance of
automatic image registration using epipolar geometry. The epipolar geometry was recovered
through the estimation of a fundamental matrix from matched image points, rectification
transforms were computed using the F-matrix, and the images were registered using epipolar
correlation. A Root mean square error (RMSE) of 0.032 and 0.00 was recorded for the
correlated points, and the paper concluded that the performance of the image registration
process was successful and accurate.
Description
Keywords
Image registration, Epipolar geometry, Fundamental matrix, Image rectification
Citation
Ahmadu, H. A., Abdulyekeen, A. O., Alade, A. K. and Yusuf, A.: An Investigation into the Performance and Accuracy of Automatic Image Registration Using Epi-polar Geometry. Geostudies Forum. Published by Published by Department of Geography and Environmental Management, University of Ilorin.