Guided sparse camera pose estimation

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

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


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
Number of pages8
Publication statusPublished - 2016
EventOAGM/ARW 2016: Computer Vision and Robotics - FH OÖ Campus, Wels, Austria
Duration: 11 May 201613 May 2016
Conference number: 40


WorkshopOAGM/ARW 2016
Abbreviated titleOAGM 2016
OtherOAGM & ARW Joint Workshop
Internet address


  • Structure-from-motion
  • 3D reconstruction


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