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dc.contributor | Escuela Superior y Tecnica de Ingenieros de Minas | es_ES |
dc.contributor.author | González-Aguilera, Diego | |
dc.contributor.author | Ruiz de Oña, Esteban | |
dc.contributor.author | López-Fernández, Luis | |
dc.contributor.author | Farella, Elisa M. | |
dc.contributor.author | Stathopoulou, Elisavet K. | |
dc.contributor.author | Toschi, Isabella | |
dc.contributor.author | Remondino, Fabio | |
dc.contributor.author | Rodríguez-Gonzálvez, Pablo | |
dc.contributor.author | Hernández-López, David | |
dc.contributor.author | Fusiello, Andrea | |
dc.contributor.author | Nex, Francesco | |
dc.contributor.other | Ingeniería Cartografica, Geodesica y Fotogrametria | es_ES |
dc.date | 2020-08-24 | |
dc.date.accessioned | 2022-05-24T15:38:40Z | |
dc.date.available | 2022-05-24T15:38:40Z | |
dc.identifier.issn | 2194-9034 | |
dc.identifier.uri | http://hdl.handle.net/10612/14777 | |
dc.description | 7 p. | es_ES |
dc.description.abstract | Automatic 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 methods | es_ES |
dc.language | eng | es_ES |
dc.subject | Ingenierías | es_ES |
dc.subject.other | Photogrammetry | es_ES |
dc.subject.other | Tie points | es_ES |
dc.subject.other | Matching | es_ES |
dc.subject.other | Detectors | es_ES |
dc.subject.other | Descriptors | es_ES |
dc.subject.other | Open-source | es_ES |
dc.subject.other | Software development | es_ES |
dc.title | Photomatch: An open-source multi-view feature matching tool for photogrammetric application | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020 | |
dc.description.peerreviewed | SI | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.journal.title | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | es_ES |
dc.volume.number | XLIII-B5-2020 | es_ES |
dc.page.initial | 213 | es_ES |
dc.page.final | 219 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.identifier.editorial | ISPRs | es_ES |
dc.description.project | ISPRS 2019 Scientific Initiative |
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