Scholarly record
ASSESSMENT OF THE RESULTS FROM THE MATTERPORT SYSTEM USING A 360-DEGREE CAMERA
Abstract
Accurate 3D data from indoor environments play a crucial role in construction, indoor navigation, real estate management, and many more applications. Mobile scanning systems, including simultaneous localization and mapping (SLAM) and mobile devices equipped with LIDAR (Light Detection And Ranging) and modern techniques like Matterport, provide efficient means to create virtual models of measured objects (and even generate point clouds). However, it is essential to note that the quality of these methods often needs to improve compared to the accuracy achieved by terrestrial laser scanning (TLS). Therefore, assessing results obtained from these systems is essential for utilizing them for 3D data capture. This paper evaluates the Matterport system using a 360-degree camera (Ricoh Theta Z1). The evaluation compares it to survey-grade Terrestrial Laser Scanning point clouds obtained from four distinct test sites, each with varying properties such as size, complexity, and noise levels. The analysis highlights both technical and practical strengths and weaknesses.
Publication Impact Profile
- Captures
- Mendeley - Readers: 3
Publication details
References11
C. Dold and C. Brenner, "Automatic matching of terrestrial scan data as a basis for the generation of detailed 3D city models," Int. Arch. Photogramm. Remote Sens., vol. 35, no. Part B3, pp. 1091�1096, 2004.
L. Kovanic, M. Stroner, P. Blistan, R. Urban, and R. Boczek, "Combined ground-based and UAS SfM-MVS approach for determination of geometric parameters of the large-scale industrial facility � Case study," Measurement, vol. 216, p. 112994, Jul. 2023, DOI: 10.1016/j.measurement.2023.112994.
M. Kellner, B. Stahl, and A. Reiterer, "Reconstructing Geometrical Models of Indoor Environments Based on Point Clouds," Remote Sens., vol. 15, no. 18, p. 4421, Sep. 2023, DOI: 10.3390/rs15184421.
M. Jarzabek-Rychard and H.-G. Maas, "Modeling of 3D geometry uncertainty in Scan-to-BIM automatic indoor reconstruction," Autom. Constr., vol. 154, p. 105002, Oct. 2023, DOI: 10.1016/j.autcon.2023.105002.
F. Bosche, M. Ahmed, Y. Turkan, C. T. Haas, and R. Haas, "The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components," Autom. Constr., vol. 49, pp. 201�213, Jan. 2015, DOI: 10.1016/j.autcon.2014.05.014.
J. Erdelyi, R. Honti, T. Funtik, P. Mayer, and A. Madiev, "Verification of Building Structures Using Point Clouds and Building Information Models," Buildings, vol. 12, no. 12, p. 2218, Dec. 2022, DOI: 10.3390/buildings12122218.
K. Pavelka Jr. and J. Pacina, "Using of modern technologies for visualization of cultural heritage," Civ. Eng. J., vol. 32, no. 4, Art. no. 4, Dec. 2023, DOI: 10.14311/CEJ.2023.04.0041.
N. A. B. Hariffin, M. H. B. Razali, L. C. Luh, S. A. Sulaiman, and M. B. M. Hashim, "The Suitability of Matterport for Building Parcel Dimension Survey," in 2023 IEEE 13th International Conference on System Engineering and Technology (ICSET), Shah Alam, Malaysia: IEEE, Oct. 2023, pp. 239�244. DOI: 10.1109/ICSET59111.2023.10295134.
G. Vosselman and H.-G. Maas, Airborne and Terrestrial Laser Scanning. 2010.
�How Matterport Works | Matterport,� How Matterport Works | Matterport. Accessed: Feb. 09, 2024. [Online] . Available: https://matterport.com/how-it-works
"Cortex AI | Matterport." Accessed: Feb. 09, 2024. [Online] . Available: https://matterport.com/cortex-ai
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.