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- Title
PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS.
- Authors
González-Aguilera, D.; Ruiz de Oña, E.; López-Fernandez, L.; Farella, E. M.; Stathopoulou, E. K.; Toschi, I.; Remondino, F.; Rodríguez-Gonzálvez, P.; Hernández-López, D.; Fusiello, A.; Nex, F.
- 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.
- Subjects
IMAGE registration; FEATURE extraction; QUALITY control; DETECTORS
- Publication
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020, Vol 43, Issue B5, p213
- ISSN
1682-1750
- Publication type
Article
- DOI
10.5194/isprs-archives-XLIII-B5-2020-213-2020