An Investigation into the performance and accuracy of Automatic Image Registration Using Epipolar Geometry

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dc.contributor.authorAhmadu, Hussein Adomu
dc.contributor.authorAbdulyekeen, Abdulazeez Ola
dc.contributor.authorAlade, Azeez Kola
dc.contributor.authorYusuf, Abdulganiyu
dc.date.accessioned2020-01-24T12:01:24Z
dc.date.available2020-01-24T12:01:24Z
dc.date.issued2018-07-03
dc.description.abstractImage 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.en_US
dc.identifier.citationAhmadu, 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.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/3551
dc.language.isoenen_US
dc.publisherDepartment of Geography and Environmental Management, University of Ilorin.en_US
dc.subjectImage registrationen_US
dc.subjectEpipolar geometryen_US
dc.subjectFundamental matrixen_US
dc.subjectImage rectificationen_US
dc.titleAn Investigation into the performance and accuracy of Automatic Image Registration Using Epipolar Geometryen_US
dc.typeArticleen_US

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