Volume XLI-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 91-97, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-91-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 91-97, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-91-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  09 Jun 2016

09 Jun 2016

FAST RADIOMETRY GUIDED FUSION OF DISPARITY IMAGES

Stephan Schmid1 and Dieter Fritsch2 Stephan Schmid and Dieter Fritsch
  • 1Daimler AG
  • 2Institute for Photogrammetry, University of Stuttgart

Keywords: Disparity fusion, multi-view stereo, real-time stereo, machine vision, photo-consistency

Abstract. Previous work on disparity map fusion has mostly focused on geometric or statistical properties of disparity maps. Since failure of stereo algorithms is often consistent in many frames of a scene, it cannot be detected by such methods. Instead, we propose to use radiometric information from the original camera images together with externally supplied camera pose information to detect mismatches. As radiometric information is local information, the computations in the proposed algorithm for disparity fusion can be decoupled and parallelized to a very large degree, which allows us to easily achieve real-time performance.