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dc.contributorEscuela Superior y Tecnica de Ingenieros de Minases_ES
dc.contributor.authorGonzález-Aguilera, Diego
dc.contributor.authorRuiz de Oña, Esteban
dc.contributor.authorLópez-Fernández, Luis
dc.contributor.authorFarella, Elisa M.
dc.contributor.authorStathopoulou, Elisavet K.
dc.contributor.authorToschi, Isabella
dc.contributor.authorRemondino, Fabio
dc.contributor.authorRodríguez-Gonzálvez, Pablo 
dc.contributor.authorHernández-López, David
dc.contributor.authorFusiello, Andrea
dc.contributor.authorNex, Francesco
dc.contributor.otherIngeniería Cartografica, Geodesica y Fotogrametriaes_ES
dc.date2020-08-24
dc.date.accessioned2022-05-24T15:38:40Z
dc.date.available2022-05-24T15:38:40Z
dc.identifier.issn2194-9034
dc.identifier.urihttp://hdl.handle.net/10612/14777
dc.description7 p.es_ES
dc.description.abstractAutomatic feature matching is a crucial step in Structure-from-Motion (SfM) applications for 3D reconstruction purposes. From an historical perspective we can say now that SIFT was the enabling technology that made SfM a successful and fully automated pipeline. SIFT was the ancestor of a wealth of detector/descriptor methods that are now available. Various research activities have tried to benchmark detector/descriptors operators, but a clear outcome is difficult to be drawn. This paper presents an ISPRS Scientific Initiative aimed at providing the community with an educational open-source tool (called PhotoMatch) for tie point extractions and image matching. Several enhancement and decolorization methods can be initially applied to an image dataset in order to improve the successive feature extraction steps. Then different detector/descriptor combinations are possible, coupled with different matching strategies and quality control metrics. Examples and results show the implemented functionality of PhotoMatch which has also a tutorial for shortly explaining the implemented methodses_ES
dc.languageenges_ES
dc.subjectIngenieríases_ES
dc.subject.otherPhotogrammetryes_ES
dc.subject.otherTie pointses_ES
dc.subject.otherMatchinges_ES
dc.subject.otherDetectorses_ES
dc.subject.otherDescriptorses_ES
dc.subject.otherOpen-sourcees_ES
dc.subject.otherSoftware developmentes_ES
dc.titlePhotomatch: An open-source multi-view feature matching tool for photogrammetric applicationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Scienceses_ES
dc.volume.numberXLIII-B5-2020es_ES
dc.page.initial213es_ES
dc.page.final219es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.editorialISPRses_ES
dc.description.projectISPRS 2019 Scientific Initiative


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