Yu, Sha ORCID: 0000-0001-9796-1446, McGuinness, Kevin ORCID: 0000-0003-1336-6477, Moore, Patricia, Azcona, David ORCID: 0000-0003-3693-7906 and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 (2020) A smart-site-survey system using Image-based 3D metric reconstruction and interactive panorama visualization. In: 28th ACM International Conference on Multimedia (MM ’20)., 12 - 16 Oct 2020, Seattle, USA (Online).
Abstract
This work presents a so-called Smart Site Survey (SSS) system that provides an efficient, web-based platform for virtual inspection of remote sites with absolute 3D metrics. Traditional manual surveying requires sending surveyors and specialised measuring tools to the targeted scene, which takes time and requires significant human resource, and often includes human error. The proposed system provides an automated site survey tool. Sample indoor scenes including offices, storage rooms, and laboratory are used for testing purposes, and highly precise virtual scenes are restored, with the measurement accuracy of 1%, i.e. an error ±1.5cm to a 150cm length. This is comparable or superior to existing works or commercial products.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | virtual site survey; image-based 3D reconstruction; image stitching; panorama visualisation |
Subjects: | Computer Science > Image processing Computer Science > Multimedia systems Computer Science > Surfaces Computer Science > Visualization |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Published in: | MM '20: Proceedings of the 28th ACM International Conference on Multimedia. . Association for Computing Machinery (ACM). |
Publisher: | Association for Computing Machinery (ACM) |
Official URL: | http://dx.doi.org/10.1145/3394171.3414425 |
Copyright Information: | © 2020 The Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Enterprise Ireland, Innovation Partnership Programme, Panalpina World Transport (Ireland) |
ID Code: | 24872 |
Deposited On: | 30 Jul 2020 15:22 by Sha Yu . Last Modified 05 Nov 2020 12:48 |
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