Rapid image-based localization using clustered 3D point cloud models with geo-location data for AEC/FM mobile augmented reality applications

Hyojoon Bae, Mani Golparvar-Fard, Jules White

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a new method for supporting onsite construction and facility management tasks by allowing field personnel to automatically have access to the latest project information in the form of Augmented Reality (AR) overlays - visually document onsite issues/progress, and communicate information with other personnel on or off site. Our near real-time and marker-less mobile augmented reality solution builds on top of a new image-based localization method for 3D point clouds that have been reconstructed using a Structure-from-Motion (SfM) pipeline and are clustered based on already available geo-location data. By using images captured from commodity smartphones/tablets, our method computes a precise 6-DOF pose for the camera and delivers relevant project information in the form of AR overlays. Our main contributions lie in efficient clustering of 3D point clouds and rapid computation of camera pose by detecting an appropriate cluster of 3D points. Compared to our previous work for AEC/FM mobile augmented reality applications, the experimental results demonstrate that the proposed clustering approach accelerates image-based localization using 3D point clouds, taking 1-2 seconds for a single localization.

Original languageEnglish (US)
Title of host publicationComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
EditorsR. Raymond Issa, Ian Flood
PublisherAmerican Society of Civil Engineers (ASCE)
Pages841-849
Number of pages9
ISBN (Electronic)9780784413616
DOIs
StatePublished - Jan 1 2014
Event2014 International Conference on Computing in Civil and Building Engineering - Orlando, United States
Duration: Jun 23 2014Jun 25 2014

Publication series

NameComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering

Other

Other2014 International Conference on Computing in Civil and Building Engineering
CountryUnited States
CityOrlando
Period6/23/146/25/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering
  • Building and Construction

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    Bae, H., Golparvar-Fard, M., & White, J. (2014). Rapid image-based localization using clustered 3D point cloud models with geo-location data for AEC/FM mobile augmented reality applications. In R. R. Issa, & I. Flood (Eds.), Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering (pp. 841-849). (Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784413616.105