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Affine versus projective transformation for SIFT and RANSAC image matching methods

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dc.citedby12
dc.contributor.authorRedzuwan R.en_US
dc.contributor.authorRadzi N.A.M.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorMustafa I.S.en_US
dc.contributor.authorid55812639200en_US
dc.contributor.authorid57218936786en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid26967833900en_US
dc.date.accessioned2023-05-29T06:12:36Z
dc.date.available2023-05-29T06:12:36Z
dc.date.issued2016
dc.descriptionEdge detection; Image matching; Mathematical transformations; Affine transformations; Projective transformation; RANSAC; SIFT; SURF; Image processingen_US
dc.description.abstractImage registration is a process of determining the geometrical transformation that aligns two or more images taken from different viewpoints and sensors at different times. Scale Invariant Feature Transform (SIFT) method has gained more popularity since it extracts the highest number of features and matching points compared to Speeded-Up Robust Feature (SURF) and Harris Corner Detector at little computational cost. In this paper, a combination of SIFT and Random Sample Consensus (RANSAC) is used to produce panoramic image. In order to reject outliers and estimate the transformation model, affine and projective transformations are used to study the best geometrical transformations methods to be used. The results shows that the projective transformation has a better performance in terms of accuracy. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7412233
dc.identifier.doi10.1109/ICSIPA.2015.7412233
dc.identifier.epage451
dc.identifier.scopus2-s2.0-84971643944
dc.identifier.spage447
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84971643944&doi=10.1109%2fICSIPA.2015.7412233&partnerID=40&md5=5ea1846fc3b1d169b766cf23f1caa6e9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22838
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings
dc.titleAffine versus projective transformation for SIFT and RANSAC image matching methodsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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