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dc.contributor.authorMondéjar Guerra, Víctor Manuel
dc.contributor.authorMuñoz-Salinas, Rafael
dc.contributor.authorMarín-Jiménez, M.J.
dc.contributor.authorCarmona Poyato, Ángel
dc.contributor.authorMedina-Carnicer, R.
dc.date.accessioned2017-12-21T11:32:57Z
dc.date.available2017-12-21T11:32:57Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10396/15780
dc.description.abstractKeypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and rotation transformations, each having advantages and disadvantages. This paper proposes a novel approach to fuse the information from multiple keypoint descriptors using Dempster-Shafer Theory of evidence [1], which has proven particularly e cient in combining sources of information providing incomplete, imprecise, biased, and con ictive knowledge. The matching results of each descriptor are transformed into an evidence distribution on which a con dence factor is computed making use of its entropy. Then, the evidence distributions are fused using Dempster-Shafer Theory (DST), considering its con dence. As result of the fusion, a new evidence distribution that improves the result of the best descriptor is obtained. Our method has been tested with SIFT, SURF, ORB, BRISK and FREAK descriptors using all possible combinations of them. Results on the Oxford keypoint dataset [2] shows that the proposed approach obtains an improvement of up to 10% compared to the best one (FREAK).es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.subjectKeypoint matchinges_ES
dc.subjectLocal descriptores_ES
dc.subjectDempster-Shaferes_ES
dc.titleKeypoint descriptor fusion with Dempster-Shafer Theoryes_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.ijar.2015.03.001es_ES
dc.relation.projectIDGobierno de España. TIN2012-32952es_ES
dc.relation.projectIDGobierno de España. Proyecto BROCAes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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