CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDY

Capturing the fine details on the surface of small objects is a real challenge to many conventional surveying methods. Our paper discusses the investigation of several data acquisition technologies, such as arm scanner, structured light scanner, terrestrial laser scanner, object line-scanner, DSLR c...

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Main Authors: N. Rehany, A. Barsi, T. Lovas
Format: Article
Language:English
Published: Copernicus Publications 2017-11-01
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/XLII-2-W8/213/2017/isprs-archives-XLII-2-W8-213-2017.pdf
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spelling doaj-f39ba7c8d0d849869b3a223889b1166f2020-11-25T00:42:44ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-11-01XLII-2-W821322010.5194/isprs-archives-XLII-2-W8-213-2017CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDYN. Rehany0A. Barsi1T. Lovas2Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Budapest, HungaryDepartment of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Budapest, HungaryDepartment of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Budapest, HungaryCapturing the fine details on the surface of small objects is a real challenge to many conventional surveying methods. Our paper discusses the investigation of several data acquisition technologies, such as arm scanner, structured light scanner, terrestrial laser scanner, object line-scanner, DSLR camera, and mobile phone camera. A palm-sized embossed sculpture reproduction was used as a test object; it has been surveyed by all the instruments. The result point clouds and meshes were then analyzed, using the arm scanner’s dataset as reference. In addition to general statistics, the results have been evaluated based both on 3D deviation maps and 2D deviation graphs; the latter allows even more accurate analysis of the characteristics of the different data acquisition approaches. Additionally, own-developed local minimum maps were created that nicely visualize the potential level of detail provided by the applied technologies. Besides the usual geometric assessment, the paper discusses the different resource needs (cost, time, expertise) of the discussed techniques. Our results proved that even amateur sensors operated by amateur users can provide high quality datasets that enable engineering analysis. Based on the results, the paper contains an outlook to potential future investigations in this field.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W8/213/2017/isprs-archives-XLII-2-W8-213-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author N. Rehany
A. Barsi
T. Lovas
spellingShingle N. Rehany
A. Barsi
T. Lovas
CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDY
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet N. Rehany
A. Barsi
T. Lovas
author_sort N. Rehany
title CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDY
title_short CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDY
title_full CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDY
title_fullStr CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDY
title_full_unstemmed CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPARATIVE STUDY
title_sort capturing fine details involving low-cost sensors –a comparative study
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-11-01
description Capturing the fine details on the surface of small objects is a real challenge to many conventional surveying methods. Our paper discusses the investigation of several data acquisition technologies, such as arm scanner, structured light scanner, terrestrial laser scanner, object line-scanner, DSLR camera, and mobile phone camera. A palm-sized embossed sculpture reproduction was used as a test object; it has been surveyed by all the instruments. The result point clouds and meshes were then analyzed, using the arm scanner’s dataset as reference. In addition to general statistics, the results have been evaluated based both on 3D deviation maps and 2D deviation graphs; the latter allows even more accurate analysis of the characteristics of the different data acquisition approaches. Additionally, own-developed local minimum maps were created that nicely visualize the potential level of detail provided by the applied technologies. Besides the usual geometric assessment, the paper discusses the different resource needs (cost, time, expertise) of the discussed techniques. Our results proved that even amateur sensors operated by amateur users can provide high quality datasets that enable engineering analysis. Based on the results, the paper contains an outlook to potential future investigations in this field.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W8/213/2017/isprs-archives-XLII-2-W8-213-2017.pdf
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