Open AccessFAST RADIOMETRY GUIDED FUSION OF DISPARITY IMAGES
Author(s) -
Stephan Schmid,
Dieter Fritsch
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b3-91-2016
Subject(s) - computer vision , artificial intelligence , radiometry , computer science , computation , fusion , image fusion , sensor fusion , image (mathematics) , remote sensing , geography , algorithm , linguistics , philosophy
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.