Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications

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

doi:10.5194/isprs-archives-XLIII-B5-2020-213-2020

Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

9 Citations (Scopus)

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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.

Original language	English
Title of host publication	XXIV ISPRS Congress, Commission V and Youth Forum
Editors	N. Paparoditis, C. Mallet, F. Lafarge, S. Kumar, P.L.N. Raju, S.P. Aggarwal, S.R. Reyes, M. Ustuner, F. Tsai, V. Liesenberg
Publisher	International Society for Photogrammetry and Remote Sensing (ISPRS)
Pages	213-219
Number of pages	7
DOIs	https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020
Publication status	Published - 6 Aug 2020
Event	XXIVth ISPRS Congress 2020 - Virtual Event, Nice, France Duration: 4 Jul 2020 → 10 Jul 2020 Conference number: 24 http://www.isprs2020-nice.com

Publication series

Name	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publisher	Copernicus
Number	B5
Volume	43
ISSN (Print)	1682-1750

Conference

Conference	XXIVth ISPRS Congress 2020
Abbreviated title	ISPRS 2020
Country/Territory	France
City	Nice
Period	4/07/20 → 10/07/20
Internet address	http://www.isprs2020-nice.com

Keywords

Descriptors
Detectors
Matching
Open-source
Photogrammetry
Software development
Tie points

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ArticleFinal published version, 6.02 MBLicence: CC BY

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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. (2020). Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. In N. Paparoditis, C. Mallet, F. Lafarge, S. Kumar, P. L. N. Raju, S. P. Aggarwal, S. R. Reyes, M. Ustuner, F. Tsai, & V. Liesenberg (Eds.), XXIV ISPRS Congress, Commission V and Youth Forum (pp. 213-219). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. 43, No. B5). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020

González-Aguilera, D. ; Ruiz De Oña, E. ; López-Fernandez, L. et al. / Photomatch : An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. XXIV ISPRS Congress, Commission V and Youth Forum. editor / N. Paparoditis ; C. Mallet ; F. Lafarge ; S. Kumar ; P.L.N. Raju ; S.P. Aggarwal ; S.R. Reyes ; M. Ustuner ; F. Tsai ; V. Liesenberg. International Society for Photogrammetry and Remote Sensing (ISPRS), 2020. pp. 213-219 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; B5).

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title = "Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications",

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. ",

keywords = "Descriptors, Detectors, Matching, Open-source, Photogrammetry, Software development, Tie points",

author = "D. Gonz{\'a}lez-Aguilera and {Ruiz De O{\~n}a}, E. and L. L{\'o}pez-Fernandez and Farella, {E. M.} and Stathopoulou, {E. K.} and I. Toschi and F. Remondino and P. Rodr{\'i}guez-Gonz{\'a}lvez and D. Hern{\'a}ndez-L{\'o}pez and A. Fusiello and F. Nex",

year = "2020",

month = aug,

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doi = "10.5194/isprs-archives-XLIII-B5-2020-213-2020",

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publisher = "International Society for Photogrammetry and Remote Sensing (ISPRS)",

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editor = "N. Paparoditis and C. Mallet and F. Lafarge and S. Kumar and P.L.N. Raju and S.P. Aggarwal and S.R. Reyes and M. Ustuner and F. Tsai and V. Liesenberg",

booktitle = "XXIV ISPRS Congress, Commission V and Youth Forum",

note = "XXIVth ISPRS Congress 2020, ISPRS 2020 ; Conference date: 04-07-2020 Through 10-07-2020",

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González-Aguilera, D, Ruiz De Oña, E, López-Fernandez, L, Farella, EM, Stathopoulou, EK, Toschi, I, Remondino, F, Rodríguez-Gonzálvez, P, Hernández-López, D, Fusiello, A & Nex, F 2020, Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. in N Paparoditis, C Mallet, F Lafarge, S Kumar, PLN Raju, SP Aggarwal, SR Reyes, M Ustuner, F Tsai & V Liesenberg (eds), XXIV ISPRS Congress, Commission V and Youth Forum. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, no. B5, vol. 43, International Society for Photogrammetry and Remote Sensing (ISPRS), pp. 213-219, XXIVth ISPRS Congress 2020, Nice, France, 4/07/20. https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020

Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. / González-Aguilera, D.; Ruiz De Oña, E.; López-Fernandez, L. et al.
XXIV ISPRS Congress, Commission V and Youth Forum. ed. / N. Paparoditis; C. Mallet; F. Lafarge; S. Kumar; P.L.N. Raju; S.P. Aggarwal; S.R. Reyes; M. Ustuner; F. Tsai; V. Liesenberg. International Society for Photogrammetry and Remote Sensing (ISPRS), 2020. p. 213-219 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. 43, No. B5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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KW - Descriptors

KW - Detectors

KW - Matching

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KW - Tie points

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González-Aguilera D, Ruiz De Oña E, López-Fernandez L, Farella EM, Stathopoulou EK, Toschi I et al. Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. In Paparoditis N, Mallet C, Lafarge F, Kumar S, Raju PLN, Aggarwal SP, Reyes SR, Ustuner M, Tsai F, Liesenberg V, editors, XXIV ISPRS Congress, Commission V and Youth Forum. International Society for Photogrammetry and Remote Sensing (ISPRS). 2020. p. 213-219. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; B5). doi: 10.5194/isprs-archives-XLIII-B5-2020-213-2020

Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications

Abstract

Publication series

Conference

Keywords

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