EVALUATING THE PERFORMANCE OF EPIPOLAR GEOMETRY FOR AUTOMATIC IMAGE REGISTRATION

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dc.contributor.authorAhmadu, Hussein Adomu
dc.contributor.authorAbdulyekeen, Abdulaziz Ola
dc.contributor.authorAlade, Azeez Kola
dc.contributor.authorYusuf, Abdulganiyu
dc.date.accessioned2022-12-14T12:33:50Z
dc.date.available2022-12-14T12:33:50Z
dc.date.issued2017-04
dc.description.abstractImage registration has being of great importance to a variety of applications in remote sensing, medical diagnosis, computer vision, and pattern recognition. Accordingly, several methods have been proposed by different researchers, with a view to enhance the performance of image registration process. This paper investigates 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. Then the rectification transform was computed using the F-matrix, and the images registered using epipolar correlation. A root mean square error (RMSE) of 0.032 and 00 was recorded for the correlated points. the paper reveals that the image registration process performed well and therefore suitable for remote sensing image registrationen_US
dc.identifier.citationAhmadu, H. A., Abdulyekeen, A. O., Alade, A. K., and Yusuf, A., (2017). An investigation into the performance and accuracy of epipolar geometry for automatic image registration. Geo-Studies forum, Vol. 9, No. 1, pp. 66 – 73en_US
dc.identifier.issn1596 - 4116
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/8028
dc.language.isoenen_US
dc.publisherDepartment of Geography, University of Ilorinen_US
dc.relation.ispartofseriesVolume 9;No. 1
dc.subjectImage Registrationen_US
dc.subjectEpipolar Geometryen_US
dc.subjectFundamental Matrixen_US
dc.subjectImage rectificationen_US
dc.titleEVALUATING THE PERFORMANCE OF EPIPOLAR GEOMETRY FOR AUTOMATIC IMAGE REGISTRATIONen_US
dc.typeArticleen_US

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