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.
| Originalsprache | englisch |
|---|---|
| Seitenumfang | 2 |
| Publikationsstatus | Veröffentlicht - 19 März 2016 |
| Veranstaltung | SEARIS @ IEEE VR 2016: Software Engineering and Architectures for Realtime Interactive Systems - Greenville/Spartenburg, SC, Greenville, USA / Vereinigte Staaten Dauer: 19 März 2016 → 20 März 2016 http://www.searis.net/ |
Workshop
| Workshop | SEARIS @ IEEE VR 2016 |
|---|---|
| Land/Gebiet | USA / Vereinigte Staaten |
| Ort | Greenville |
| Zeitraum | 19/03/16 → 20/03/16 |
| Internetadresse |