2024-03-29T12:07:16Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/147772022-06-15T12:33:34Zcom_10612_17col_10612_18
Photomatch: An open-source multi-view feature matching tool for photogrammetric application
González-Aguilera, Diego
Ruiz de Oña, Esteban
López-Fernández, Luis
Farella, Elisa M.
Stathopoulou, Elisavet K.
Toschi, Isabella
Remondino, Fabio
Rodríguez-Gonzálvez, Pablo
Hernández-López, David
Fusiello, Andrea
Nex, Francesco
Ingeniería Cartografica, Geodesica y Fotogrametria
Escuela Superior y Tecnica de Ingenieros de Minas
Ingenierías
Photogrammetry
Tie points
Matching
Detectors
Descriptors
Open-source
Software development
7 p.
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
SI
ISPRS 2019 Scientific Initiative
2020-08-24
2022-05-24T15:38:40Z
2022-05-24T15:38:40Z
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
2194-9034
http://hdl.handle.net/10612/14777
https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020
ISPRs
eng
info:eu-repo/semantics/openAccess
https://buleria.unileon.es/bitstream/10612/14777/4/ISPRS_2020.pdf.jpg
Hispana
TEXT
http://rightsstatements.org/vocab/CNE/1.0/
BULERIA. Repositorio Institucional de la Universidad de León
http://hdl.handle.net/10612/14777