Guided sparse camera pose estimation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of The 40th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2016
Pages139-146
Number of pages8
Publication statusPublished - 2016
EventAnnual Workshop of the Austrian Association for Pattern Recognition (OAGM) - FH Wels, Wels, Austria
Duration: 27 May 201628 Nov 2016
Conference number: 40
https://www.fh-ooe.at/en/kongresse/2016/oagm-arw/

Conference

ConferenceAnnual Workshop of the Austrian Association for Pattern Recognition (OAGM)
Abbreviated titleOAGM 2016
CountryAustria
CityWels
Period27/05/1628/11/16
Internet address

Keywords

  • Structure-from-motion
  • 3D reconstruction

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  • Cite this

    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 (pp. 139-146)