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.
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.
| Original language | English |
|---|---|
| Number of pages | 2 |
| Publication status | Published - 19 Mar 2016 |
| Event | SEARIS @ IEEE VR 2016: Software Engineering and Architectures for Realtime Interactive Systems - Greenville/Spartenburg, SC, Greenville, United States Duration: 19 Mar 2016 → 20 Mar 2016 http://www.searis.net/ |
Workshop
| Workshop | SEARIS @ IEEE VR 2016 |
|---|---|
| Country/Territory | United States |
| City | Greenville |
| Period | 19/03/16 → 20/03/16 |
| Internet address |
Keywords
- SLAM
- SfM
- Outdoor
- Tracking