Optimal Lateral Displacement in Automatic Close-Range Photogrammetry

Based on the use of automatic photogrammetry, different researchers made evident that the level of overlap between adjacent photographs directly affects the uncertainty of the 3D dense cloud originated by the Structure from Motion/Image Matching (SfM/IM) process. The purpose of this study was to inv...

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Main Authors: Gabriele Guidi, Umair Shafqat Malik, Laura Loredana Micoli
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/21/6280
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spelling doaj-cd517d8ff0c04d698400ffad5a46f8a12020-11-25T04:05:08ZengMDPI AGSensors1424-82202020-11-01206280628010.3390/s20216280Optimal Lateral Displacement in Automatic Close-Range PhotogrammetryGabriele Guidi0Umair Shafqat Malik1Laura Loredana Micoli2Department of Mechanical Engineering, Politecnico di Milano, Via La Masa, 1, 20156 Milan, ItalyDepartment of Mechanical Engineering, Politecnico di Milano, Via La Masa, 1, 20156 Milan, ItalyDepartment of Mechanical Engineering, Politecnico di Milano, Via La Masa, 1, 20156 Milan, ItalyBased on the use of automatic photogrammetry, different researchers made evident that the level of overlap between adjacent photographs directly affects the uncertainty of the 3D dense cloud originated by the Structure from Motion/Image Matching (SfM/IM) process. The purpose of this study was to investigate if, in the case of a convergent shooting typical of close-range photogrammetry, an optimal lateral displacement of the camera for minimizing the 3D data uncertainty could be identified. We examined five different test objects made of rock, differing in terms of stone type and visual appearance. First, an accurate reference data set was generated by acquiring each object with an active range device, based on pattern projection (<i>σ<sub>z </sub></i>= 18 µm). Then, each object was 3D-captured with photogrammetry, using a set of images taken radially, with the camera pointing to the center of the specimen. The camera–object minimum distance was kept at 200 mm during the shooting, and the angular displacement was as small as π/60. We generated several dense clouds by sampling the original redundant sequence at angular displacements (<i>n</i>π/60, <i>n</i>=1, 2, … 8). Each 3D cloud was then compared with the reference, implementing an accurate scaling protocol to minimize systematic errors. The residual standard deviation of error made consistently evident a range of angular displacements among images that appear to be optimal for reducing the measurement uncertainty, independent of each specimen shape, material, and texture. Such a result provides guidance about how best to arrange the cameras’ geometry for 3D digitization of a stone cultural heritage artifact with several convergent shots. The photogrammetric tool used in the experiments was Agisoft Metashape.https://www.mdpi.com/1424-8220/20/21/6280photogrammetrycomputer visionSfM/IMimage overlap3D data uncertaintydistance/baseline ratio
collection DOAJ
language English
format Article
sources DOAJ
author Gabriele Guidi
Umair Shafqat Malik
Laura Loredana Micoli
spellingShingle Gabriele Guidi
Umair Shafqat Malik
Laura Loredana Micoli
Optimal Lateral Displacement in Automatic Close-Range Photogrammetry
Sensors
photogrammetry
computer vision
SfM/IM
image overlap
3D data uncertainty
distance/baseline ratio
author_facet Gabriele Guidi
Umair Shafqat Malik
Laura Loredana Micoli
author_sort Gabriele Guidi
title Optimal Lateral Displacement in Automatic Close-Range Photogrammetry
title_short Optimal Lateral Displacement in Automatic Close-Range Photogrammetry
title_full Optimal Lateral Displacement in Automatic Close-Range Photogrammetry
title_fullStr Optimal Lateral Displacement in Automatic Close-Range Photogrammetry
title_full_unstemmed Optimal Lateral Displacement in Automatic Close-Range Photogrammetry
title_sort optimal lateral displacement in automatic close-range photogrammetry
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-11-01
description Based on the use of automatic photogrammetry, different researchers made evident that the level of overlap between adjacent photographs directly affects the uncertainty of the 3D dense cloud originated by the Structure from Motion/Image Matching (SfM/IM) process. The purpose of this study was to investigate if, in the case of a convergent shooting typical of close-range photogrammetry, an optimal lateral displacement of the camera for minimizing the 3D data uncertainty could be identified. We examined five different test objects made of rock, differing in terms of stone type and visual appearance. First, an accurate reference data set was generated by acquiring each object with an active range device, based on pattern projection (<i>σ<sub>z </sub></i>= 18 µm). Then, each object was 3D-captured with photogrammetry, using a set of images taken radially, with the camera pointing to the center of the specimen. The camera–object minimum distance was kept at 200 mm during the shooting, and the angular displacement was as small as π/60. We generated several dense clouds by sampling the original redundant sequence at angular displacements (<i>n</i>π/60, <i>n</i>=1, 2, … 8). Each 3D cloud was then compared with the reference, implementing an accurate scaling protocol to minimize systematic errors. The residual standard deviation of error made consistently evident a range of angular displacements among images that appear to be optimal for reducing the measurement uncertainty, independent of each specimen shape, material, and texture. Such a result provides guidance about how best to arrange the cameras’ geometry for 3D digitization of a stone cultural heritage artifact with several convergent shots. The photogrammetric tool used in the experiments was Agisoft Metashape.
topic photogrammetry
computer vision
SfM/IM
image overlap
3D data uncertainty
distance/baseline ratio
url https://www.mdpi.com/1424-8220/20/21/6280
work_keys_str_mv AT gabrieleguidi optimallateraldisplacementinautomaticcloserangephotogrammetry
AT umairshafqatmalik optimallateraldisplacementinautomaticcloserangephotogrammetry
AT lauraloredanamicoli optimallateraldisplacementinautomaticcloserangephotogrammetry
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