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A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization

Published: 12 October 2020 Publication History

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.

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References

[1]
Irene Aicardi, Filiberto Chiabrando, Andrea Maria Lingua, and Francesca Noardo. 2018. Recent trends in cultural heritage 3D survey: The photogrammetric computer vision approach. Journal of Cultural Heritage 32 (2018), 257--266.
[2]
Belen Jiménez Fernández-Palacios, Daniele Morabito, and Fabio Remondino. 2017. Access to complex reality-based 3D models using virtual reality solutions. Journal of cultural heritage 23 (2017), 40--48.
[3]
Richard Hartley and Andrew Zisserman. 2003. Multiple view geometry in computer vision. Cambridge university press.
[4]
Anestis Koutsoudis, Fotis Arnaoutoglou, and Christodoulos Chamzas. 2007. On 3D reconstruction of the old city of Xanthi. A minimum budget approach to virtual touring based on photogrammetry. Journal of Cultural Heritage 8, 1 (2007), 26--31.
[5]
Eric Turner, Peter Cheng, and Avideh Zakhor. 2014. Fast, automated, scalable generation of textured 3d models of indoor environments. IEEE Journal of Selected Topics in Signal Processing 9, 3 (2014), 409--421.

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Published In

cover image ACM Conferences
MM '20: Proceedings of the 28th ACM International Conference on Multimedia
October 2020
4889 pages
ISBN:9781450379885
DOI:10.1145/3394171
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 October 2020

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Author Tags

  1. image stitching
  2. image-based 3D reconstruction
  3. metric 3D reconstruction
  4. panorama visualization
  5. virtual site survey

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  • Abstract

Funding Sources

  • Panalpina World Transport (Ireland)
  • Enterprise Ireland funded Innovation Partnership Programme
  • Science Foundation Ireland Insight SFI Centre for Data Analytics

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MM '20
Sponsor:

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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