PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW and MULTI-MODAL FEATURE MATCHING TOOL for PHOTOGRAMMETRIC APPLICATIONS
| Autor: | 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., Paparoditis, N., Mallet, C., Lafarge, F., Kumar, S., Raju, P.L.N., Aggarwal, S.P., Reyes, S.R., Ustuner, M., Tsai, F., Liesenberg, V. |
|---|---|
| Přispěvatelé: | Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:Applied optics. Photonics
Matching (statistics) Open-source 010504 meteorology & atmospheric sciences Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-invariant feature transform 02 engineering and technology computer.software_genre 01 natural sciences lcsh:Technology Descriptors Detectors Matching Photogrammetry Software development Tie points 0202 electrical engineering electronic engineering information engineering 0105 earth and related environmental sciences lcsh:T Perspective (graphical) 3D reconstruction Detector lcsh:TA1501-1820 Pipeline (software) lcsh:TA1-2040 Benchmark (computing) 020201 artificial intelligence & image processing Data mining lcsh:Engineering (General). Civil engineering (General) computer |
| Zdroj: | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43(B5), 213-219 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 213-219 (2020) |
| ISSN: | 2194-9034 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|