PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS
<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 we...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-08-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B5-2020/213/2020/isprs-archives-XLIII-B5-2020-213-2020.pdf |
id |
doaj-49fe5ff7e4ee4ad2a0ba4d740b2caf7a |
---|---|
record_format |
Article |
spelling |
doaj-49fe5ff7e4ee4ad2a0ba4d740b2caf7a2020-11-25T04:00:53ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B5-202021321910.5194/isprs-archives-XLIII-B5-2020-213-2020PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONSD. González-Aguilera0E. Ruiz de Oña1L. López-Fernandez2E. M. Farella3E. K. Stathopoulou4I. Toschi5F. Remondino6P. Rodríguez-Gonzálvez7D. Hernández-López8A. Fusiello9F. Nex10Cartographic and Terrain Engineering Department, Higher Polytechnic School of Avila, University of Salamanca, Avila, SpainCartographic and Terrain Engineering Department, Higher Polytechnic School of Avila, University of Salamanca, Avila, SpainCartographic and Terrain Engineering Department, Higher Polytechnic School of Avila, University of Salamanca, Avila, Spain3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyDepartment of Mining Technology, Topography and Structures, Universidad de León, Ponferrada, SpainInstitute for Regional Development (IDR), University of Castilla-La Mancha, Albacete, SpainDPIA, University of Udine, Udine, ItalyDepartment of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands<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. </p><p>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.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B5-2020/213/2020/isprs-archives-XLIII-B5-2020-213-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. González-Aguilera E. Ruiz de Oña L. López-Fernandez E. M. Farella E. K. Stathopoulou I. Toschi F. Remondino P. Rodríguez-Gonzálvez D. Hernández-López A. Fusiello F. Nex |
spellingShingle |
D. González-Aguilera E. Ruiz de Oña L. López-Fernandez E. M. Farella E. K. Stathopoulou I. Toschi F. Remondino P. Rodríguez-Gonzálvez D. Hernández-López A. Fusiello F. Nex PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
D. González-Aguilera E. Ruiz de Oña L. López-Fernandez E. M. Farella E. K. Stathopoulou I. Toschi F. Remondino P. Rodríguez-Gonzálvez D. Hernández-López A. Fusiello F. Nex |
author_sort |
D. González-Aguilera |
title |
PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS |
title_short |
PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS |
title_full |
PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS |
title_fullStr |
PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS |
title_full_unstemmed |
PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS |
title_sort |
photomatch: an open-source multi-view and multi-modal feature matching tool for photogrammetric applications |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2020-08-01 |
description |
<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. </p><p>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.</p> |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B5-2020/213/2020/isprs-archives-XLIII-B5-2020-213-2020.pdf |
work_keys_str_mv |
AT dgonzalezaguilera photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT eruizdeona photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT llopezfernandez photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT emfarella photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT ekstathopoulou photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT itoschi photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT fremondino photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT prodriguezgonzalvez photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT dhernandezlopez photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT afusiello photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications AT fnex photomatchanopensourcemultiviewandmultimodalfeaturematchingtoolforphotogrammetricapplications |
_version_ |
1724448669701242880 |