Guided sparse camera pose estimation

Fabian Schenk, Ludwig Mohr, Matthias Rüther, Friedrich Fraundorfer, Horst Bischof

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

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.
Originalspracheenglisch
TitelProceedings of The 40th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2016
Seiten139-146
Seitenumfang8
PublikationsstatusVeröffentlicht - 2016
VeranstaltungAnnual Workshop of the Austrian Association for Pattern Recognition (OAGM) - FH Wels, Wels, Österreich
Dauer: 27 Mai 201628 Nov 2016
Konferenznummer: 40
https://www.fh-ooe.at/en/kongresse/2016/oagm-arw/

Konferenz

KonferenzAnnual Workshop of the Austrian Association for Pattern Recognition (OAGM)
KurztitelOAGM 2016
LandÖsterreich
OrtWels
Zeitraum27/05/1628/11/16
Internetadresse

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  • Dieses zitieren

    Schenk, F., Mohr, L., Rüther, M., Fraundorfer, F., & Bischof, H. (2016). Guided sparse camera pose estimation. in Proceedings of The 40th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2016 (S. 139-146)