In this paper, we present an idea for a sparse approach to calculate camera poses from RGB images and laser distance measurements to perform subsequent facade reconstruction. The core idea is to guide the image recording process by choosing distinctive features with the laser range finder, e.g. building or window corners. From these distinctive features, we can establish correspondences between views to compute metrically accurate camera poses from just a few precise measurements. In our experiments, we achieve reasonable results in building facade reconstruction with only a fraction of features compared to standard structure from motion.
|Titel||Proceedings of The 40th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2016|
|Publikationsstatus||Veröffentlicht - 2016|
|Veranstaltung||Annual Workshop of the Austrian Association for Pattern Recognition (OAGM) - FH Wels, Wels, Österreich|
Dauer: 27 Mai 2016 → 28 Nov 2016
|Konferenz||Annual Workshop of the Austrian Association for Pattern Recognition (OAGM)|
|Zeitraum||27/05/16 → 28/11/16|