Photomatch: An Open-Source Multi-View and Multi-Modal Feature Matching Tool for Photogrammetric Applications

González‐Aguilera, Diego; Oña, Esteban Ruiz de; López-Fernández, Luis Andrés; Farella, Elisa Mariarosaria; Stathopoulou, E. K.; Toschi, I.; Remondino, Fabio; Rodríguez‐Gonzálvez, Pablo; Hernández-López, David; Fusiello, Andrea; Nex, Francesco

doi:10.5194/isprs-archives-xliii-b5-2020-213-2020

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…Instead of using such a black-box software, we chose three state-of-the-art feature matching approaches which were selected, reflecting the variety of blob and corner detectors with binary and string descriptors: SIFT [43], SURF [44], and AKAZE [45]. The open-source photogrammetric software PhotoMatch [46] was utilized to carry out the tests. Before the feature matching process, all images were pre-processed by a contrast-preserving decolorization tool [47], maintaining the full image resolution.…”

Section: Estimating the Impact Of Land Cover On The Number Of Automatic Tie Pointsmentioning

confidence: 99%

High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations

et al. 2020

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During the past years, unmanned aerial vehicles (UAVs) gained importance as a tool to quickly collect high-resolution imagery as base data for cadastral mapping. However, the fact that UAV-derived geospatial information supports decision-making processes involving people’s land rights ultimately raises questions about data quality and accuracy. In this vein, this paper investigates different flight configurations to give guidance for efficient and reliable UAV data acquisition. Imagery from six study areas across Europe and Africa provide the basis for an integrated quality assessment including three main aspects: (1) the impact of land cover on the number of tie-points as an indication on how well bundle block adjustment can be performed, (2) the impact of the number of ground control points (GCPs) on the final geometric accuracy, and (3) the impact of different flight plans on the extractability of cadastral features. The results suggest that scene context, flight configuration, and GCP setup significantly impact the final data quality and subsequent automatic delineation of visual cadastral boundaries. Moreover, even though the root mean square error of checkpoint residuals as a commonly accepted error measure is within a range of few centimeters in all datasets, this study reveals large discrepancies of the accuracy and the completeness of automatically detected cadastral features for orthophotos generated from different flight plans. With its unique combination of methods and integration of various study sites, the results and recommendations presented in this paper can help land professionals and bottom-up initiatives alike to optimize existing and future UAV data collection workflows.

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Section: Estimating the Impact Of Land Cover On The Number Of Automatic Tie Pointsmentioning

confidence: 99%

High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations

et al. 2020

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“…Since image acquisitions were not only limited to vertical but also an oblique point of view, the processing of the images must incorporate last advances and algorithms in computer vision for images matching [23] and images orientation [24,25]. Before extracting and matching features, images must be pre-processed in order to improve the radiometric contents and ease the successive feature extraction.…”

Section: Extraction and Matching Of Featuresmentioning

confidence: 99%

WELDMAP: A Photogrammetric Suite Applied to the Inspection of Welds

et al. 2022

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This paper presents a new tool for external quality control in welds using close-range photogrammetry. The main contribution of the developed approach is the automatic assessment of welds based on 3D photogrammetric models, enabling objective and accurate analyses through an in-house tool that was developed, WELDMAP. As a result, inspectors can perform external quality control of welds in a simple and efficient way without requiring visual inspections or external tools, and thus avoiding the subjectivity and imprecisions of the classical protocol. The tool was validated with a large dataset in laboratory tests as well as in real scenarios.

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“…In order to fully benefit of the assets belonging to each method, library or algorithm, the need of an interoperable process is raising. Some attempts have been recently made in this direction to release more handy tools [17,18]. Furthermore, the CH experts have high demand on preserving a data-provenance and data-quality continuum, hence the use of commercial solutions is frequently questioned in cross-comparison studies [19][20][21] in term of cost to performance ratio…”

Section: Related Literaturementioning

confidence: 99%

A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation

Pamart¹,

Morlet²,

Luca³

et al. 2020

Remote Sensing

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Imaging techniques and Image Based-Modeling (IBM) practices in the field of Cultural Heritage (CH) studies are nowadays no longer used as one-shot applications but as various and complex scenarios involving multiple modalities; sensors, scales, spectral bands and temporalities utilized by various experts. Current use of Structure from Motion and photogrammetric methods necessitates some improvements in iterative registration to ease the growing complexity in the management of the scientific imaging applied on heritage assets. In this context, the co-registration of photo-documentation among other imaging resources is a key step in order to move towards data fusion and collaborative semantic enrichment scenarios. This paper presents the recent development of a Totally Automated Co-registration and Orientation library (TACO) based on the interoperability of open-source solutions to conduct photogrammetric-based registration. The proposed methodology addresses and solves some gaps in term of robustness and versatility in the field of incremental and global orientation of image-sets dedicated to CH practices.

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Photomatch: An Open-Source Multi-View and Multi-Modal Feature Matching Tool for Photogrammetric Applications

Cited by 4 publications

References 20 publications

High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations

High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations

WELDMAP: A Photogrammetric Suite Applied to the Inspection of Welds

A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation

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