Visionary Collaborative Outdoor Reconstruction using SLAM and SfM

Research output: Contribution to conferencePaper

Abstract

In this position paper, we argue about a concept for collaborative
outdoor reconstruction using SLAM clients and a scalable SfM engine
running in the cloud. Based on previous observations and
results, we discuss issues like illumination changes, overall scalability
or the dacay of buildings, having a serious impact on the
practical feasibility of such a system. Revisiting ideas and insights
from work on outdoor reconstruction and localization done in the
last couple of years, we outline an idea for collaborative and vivid
reconstruction of the world, potentially through the cameras of millions
of mobile devices.

Workshop

WorkshopSEARIS @ IEEE VR 2016
CountryUnited States
CityGreenville
Period19/03/1620/03/16
Internet address

Fingerprint

Mobile devices
Scalability
Lighting
Cameras
Engines

Keywords

  • SLAM
  • SfM
  • Outdoor
  • Tracking

Cite this

Fleck, P., Schmalstieg, D., & Arth, C. (2016). Visionary Collaborative Outdoor Reconstruction using SLAM and SfM. Paper presented at SEARIS @ IEEE VR 2016, Greenville, United States.

Visionary Collaborative Outdoor Reconstruction using SLAM and SfM. / Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens.

2016. Paper presented at SEARIS @ IEEE VR 2016, Greenville, United States.

Research output: Contribution to conferencePaper

Fleck, P, Schmalstieg, D & Arth, C 2016, 'Visionary Collaborative Outdoor Reconstruction using SLAM and SfM' Paper presented at SEARIS @ IEEE VR 2016, Greenville, United States, 19/03/16 - 20/03/16, .
Fleck P, Schmalstieg D, Arth C. Visionary Collaborative Outdoor Reconstruction using SLAM and SfM. 2016. Paper presented at SEARIS @ IEEE VR 2016, Greenville, United States.
Fleck, Philipp ; Schmalstieg, Dieter ; Arth, Clemens. / Visionary Collaborative Outdoor Reconstruction using SLAM and SfM. Paper presented at SEARIS @ IEEE VR 2016, Greenville, United States.2 p.
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