Application of Structure-from-Motion photogrammetry in laboratory flumes

Morgan, Jacob A.; Brogan, Daniel J.; Nelson, Peter A.

doi:10.1016/j.geomorph.2016.10.021

Cited by 101 publications

(89 citation statements)

References 54 publications

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“…The cameras were triggered simultaneously using the software DigiCamControl, which also allowed images to be downloaded directly to a computer. This camera positioning and geometry was consistent throughout all experimental runs following a more traditional near-vertical aerial photography geometry (Gardner and Ashmore, 2011;Kasprak et al, 2015;Leduc et al, 2015) than is sometimes the case for SfM applications, which may use images from multiple positions and angles (Morgan et al, 2016).…”

Section: Physical Model and Experimental Proceduresmentioning

confidence: 70%

“…In addition, initial tests yielded some longitudinal doming in the DEMs which is often referred to in SfM literature (e.g., Kasprak et al (2015);Smith et al (2016); Morgan et al (2016)). In both cases, it was important to maximize the number of targets detected by adjusting 5 target and camera positions accordingly and continually confirming that targets were being detected through visual analysis of each photo surveys.…”

Section: Target Detection and Camera Settingsmentioning

confidence: 97%

“…We used close-range SfM techniques, enhanced with custom scripts for automatic control target detection and batch processing, to collect over 1000 high-quality DEMs of the 18.3 x 3 m model surface over a series of braided river experiments. While general guidelines for using close-range SfM have been discussed elsewhere (see Morgan et al (2016)), here we address specific challenges faced and present methods used to improve data collection and the resulting data quality. 5 We demonstrate that these techniques can be used to extract detailed morphological information, water surface topography and flow depth, as well as grain size/texture data from braided river models.…”

mentioning

confidence: 99%

“…5 We demonstrate that these techniques can be used to extract detailed morphological information, water surface topography and flow depth, as well as grain size/texture data from braided river models. These efforts contribute to the identified need for ongoing learning about application and quality of SfM in laboratory settings (Morgan et al, 2016).…”

mentioning

confidence: 99%

“…The script additionally exported a report on the PhotoScan project, indicating the number of photos used, the image overlap, and the estimated error on target detection. Morgan et al (2016) reported that they were unable to utilize the automated target detection feature in PhotoScan but our fixed geometry and consistent survey method may have been important to successful automated target identification. Furthermore, it was found that using large identification values on 5 the targets (e.g., ID numbers > 100 (see Fig.…”

mentioning

confidence: 99%

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Short Communication: Challenges and Applications of Structure-from-Motion Photogrammetry in a Physical Model of a Braided River

Leduc¹,

Peirce²,

Ashmore³

2018

Preprint

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Abstract. Extending the applications of Structure-from-Motion (SfM) photogrammetry in river flumes, we present the main challenges and methods used to collect a large dataset (> 1000 digital elevation models) of high-quality topographic data using close-range SfM photogrammetry with a resulting vertical precision of ∼ 1mm. Automatic target-detection, batch processing, and considerations for image quality were fundamental to successful implementation of SfM on such a large dataset, which was used primarily for capturing details of gravel-bed braided river morphodynamics and sedimentology. While the applications 5 of close-range SfM photogrammetry are numerous, we include sample results from DEM differencing, which was used to quantify morphology change and provide estimates of water depth in braided rivers, as well as image analysis for mapping bed surface texture. These methods and results contribute to the growing field of SfM applications in geomorphology and close-range experimental settings in general.

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Section: Physical Model and Experimental Proceduresmentioning

confidence: 70%

Section: Target Detection and Camera Settingsmentioning

confidence: 97%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Short Communication: Challenges and Applications of Structure-from-Motion Photogrammetry in a Physical Model of a Braided River

Leduc¹,

Peirce²,

Ashmore³

2018

Preprint

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Standard methods for creating digital skeletal models using structure‐from‐motion photogrammetry

Morgan

Ford

Smith

2019

American J Phys Anthropol

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Objectives: This article assesses best practices for producing 3D digital cranial models through structure-from-motion (SfM) photogrammetry, and whether the metric accuracy and overall presentation of photogrammetric models are comparable to physical crania. It is intended to present a user-friendly standard method of creating accurate digital skeletal models using Agisoft PhotoScan. Materials and methods:Approximately 200 photographs were taken of three different crania, and were separated into series consisting of 50, 75, 100, 150, and approximately 200 photos.Forty-five cranial models were created using different photo series and a variety of PhotoScan settings. These models were assessed based on defined qualitative criteria, and model measurement estimates were compared with physical skeletal measurements using Bland-Altman plots.Results: The majority of all models (37/45) produced measurement estimates with mean differences of 2 mm or less regardless of PhotoScan settings, and therefore demonstrated high levels of agreement with the physical measurements. Models created with 150 photographs and on "high" PhotoScan settings scored the highest in terms of qualitative appearance in the shortest amount of time.Discussion: In PhotoScan, it is recommended to create cranial models using 150 photographs and "high" settings; this produces digital cranial models that are comparable to physical crania in both appearance and proportion. SfM photogrammetry is a convenient, noninvasive, and rapid 3D modeling tool that can be used in almost any setting to produce digital models, and following the guidelines established here will ensure that these models are metrically accurate. K E Y W O R D S3D models, accuracy, anthropometry, measurement error, photogrammetry

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A critical assessment of the potential for Structure‐from‐Motion photogrammetry to produce high fidelity 3D dental models

Silvester

Hillson

2020

American J Phys Anthropol

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Objectives The recent proliferation of methods of 3D model generation has enabled the development of new approaches to the analysis of dental form, function and wear. This article assesses whether Structure‐from‐motion (SfM) photogrammetry is capable of producing virtual 3D models of teeth of adequate quality for assessing fine scale surface details, such as dental macrowear patterns. Reference models were generated using a high resolution structured light scanner to assess the accuracy of the photogrammetric models generated. Materials and Methods Dental gypsum models of the molar teeth of human individuals from St. Michael's Litten, Chichester, Post‐medieval assemblage (n = 17) were used for 3D model generation. Photogrammetry was performed using Agisoft Metashape and reference 3D models were generated using a GOM ATOS 80 scanner. Focus stacking was explored as a method of enhancing 3D model detail. Differences between the photogrammetric and reference models were assessed using CloudCompare and the quality of the surface detail was examined quantitatively using Occlusal Fingerprint Analysis. Results Photogrammetric model generation was highly replicable and the tooth models produced closely approximated the overall geometry of those derived from the structured light scanner. Dental wear facet area measurements on the photogrammetric models differed significantly, however, from those derived from the structured light scanning reference models. Discussion Photogrammetry can create virtual dental models from which crude quantitative size and shape data can be obtained. Finer scale surface details are not accurately reproduced on SfM models using the methods outlined in the current article due to high levels of surface noise.

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Application of Structure-from-Motion photogrammetry in laboratory flumes

Abstract: Structure-from-motion (SfM) photogrammetry has become widely used for topographic data collection in field and laboratory studies. However, the relative performance of SfM against other methods of topographic measurement in a laboratory flume environment has not been systematically

Cited by 101 publications

References 54 publications

Short Communication: Challenges and Applications of Structure-from-Motion Photogrammetry in a Physical Model of a Braided River

Short Communication: Challenges and Applications of Structure-from-Motion Photogrammetry in a Physical Model of a Braided River

Standard methods for creating digital skeletal models using structure‐from‐motion photogrammetry

A critical assessment of the potential for Structure‐from‐Motion photogrammetry to produce high fidelity 3D dental models

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