A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map
The fast evolution in computational and sensor technologies brings previously niche solutions to a wider userbase. As such, 3D reconstruction technologies are reaching new use-cases in scientific and everyday areas where they were not present before. Cost-effective and easy-to-use solutions include...
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doaj-6822d25cad694bcaa18b1ac1ee777a982020-12-09T00:00:50ZengMDPI AGElectronics2079-92922020-12-0192091209110.3390/electronics9122091A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-MapÁdám Wolf0Péter Troll1Stefan Romeder-Finger2Andreas Archenti3Károly Széll4Péter Galambos5Baxalta Innovations GmbH, A-1221 Vienna, AustriaDepartment of Production Engineering, KTH Royal Institute of Technology, SE-114 28 Stockholm, SwedenBaxalta Innovations GmbH, A-1221 Vienna, AustriaDepartment of Production Engineering, KTH Royal Institute of Technology, SE-114 28 Stockholm, SwedenDoctoral School of Applied Informatics and Applied Mathematics, Óbuda University, H-1034 Budapest, HungaryDoctoral School of Applied Informatics and Applied Mathematics, Óbuda University, H-1034 Budapest, HungaryThe fast evolution in computational and sensor technologies brings previously niche solutions to a wider userbase. As such, 3D reconstruction technologies are reaching new use-cases in scientific and everyday areas where they were not present before. Cost-effective and easy-to-use solutions include camera-based 3D scanning techniques, such as photogrammetry. This paper provides an overview of the available solutions and discusses in detail the depth-image based Real-time Appearance-based Mapping (RTAB-Map) technique as well as a smartphone-based solution that utilises ARCore, the Augmented Reality (AR) framework of Google. To qualitatively compare the two 3D reconstruction technologies, a simple length measurement-based method was applied with a purpose-designed reference object. The captured data were then analysed by a processing algorithm. In addition to the experimental results, specific case studies are briefly discussed, evaluating the applicability based on the capabilities of the technologies. As such, the paper presents the use-case of interior surveying in an automated laboratory as well as an example for using the discussed techniques for landmark surveying. The major findings are that point clouds created with these technologies provide a direction- and shape-accurate model, but those contain mesh continuity errors, and the estimated scale factor has a large standard deviation.https://www.mdpi.com/2079-9292/9/12/20913D scanning3D metrology3D reconstructionARCoreRTAB-Map |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ádám Wolf Péter Troll Stefan Romeder-Finger Andreas Archenti Károly Széll Péter Galambos |
spellingShingle |
Ádám Wolf Péter Troll Stefan Romeder-Finger Andreas Archenti Károly Széll Péter Galambos A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map Electronics 3D scanning 3D metrology 3D reconstruction ARCore RTAB-Map |
author_facet |
Ádám Wolf Péter Troll Stefan Romeder-Finger Andreas Archenti Károly Széll Péter Galambos |
author_sort |
Ádám Wolf |
title |
A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map |
title_short |
A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map |
title_full |
A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map |
title_fullStr |
A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map |
title_full_unstemmed |
A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map |
title_sort |
benchmark of popular indoor 3d reconstruction technologies: comparison of arcore and rtab-map |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2020-12-01 |
description |
The fast evolution in computational and sensor technologies brings previously niche solutions to a wider userbase. As such, 3D reconstruction technologies are reaching new use-cases in scientific and everyday areas where they were not present before. Cost-effective and easy-to-use solutions include camera-based 3D scanning techniques, such as photogrammetry. This paper provides an overview of the available solutions and discusses in detail the depth-image based Real-time Appearance-based Mapping (RTAB-Map) technique as well as a smartphone-based solution that utilises ARCore, the Augmented Reality (AR) framework of Google. To qualitatively compare the two 3D reconstruction technologies, a simple length measurement-based method was applied with a purpose-designed reference object. The captured data were then analysed by a processing algorithm. In addition to the experimental results, specific case studies are briefly discussed, evaluating the applicability based on the capabilities of the technologies. As such, the paper presents the use-case of interior surveying in an automated laboratory as well as an example for using the discussed techniques for landmark surveying. The major findings are that point clouds created with these technologies provide a direction- and shape-accurate model, but those contain mesh continuity errors, and the estimated scale factor has a large standard deviation. |
topic |
3D scanning 3D metrology 3D reconstruction ARCore RTAB-Map |
url |
https://www.mdpi.com/2079-9292/9/12/2091 |
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