International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLIII-B5-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 213–219, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 213–219, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  24 Aug 2020

24 Aug 2020

PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS

D. González-Aguilera1, E. Ruiz de Oña1, L. López-Fernandez1, E. M. Farella2, E. K. Stathopoulou2, I. Toschi2, F. Remondino2, P. Rodríguez-Gonzálvez3, D. Hernández-López4, A. Fusiello5, and F. Nex6 D. González-Aguilera et al.
  • 1Cartographic and Terrain Engineering Department, Higher Polytechnic School of Avila, University of Salamanca, Avila, Spain
  • 23D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
  • 3Department of Mining Technology, Topography and Structures, Universidad de León, Ponferrada, Spain
  • 4Institute for Regional Development (IDR), University of Castilla-La Mancha, Albacete, Spain
  • 5DPIA, University of Udine, Udine, Italy
  • 6Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands

Keywords: Photogrammetry, Tie points, Matching, Detectors, Descriptors, Open-source, Software development

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.