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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-6
Martin Bohme , Institute for Neuro- and Bioinformatics, University of Lübeck, Ratzeburger Allee 160, 23538, Germany
Martin Haker , Institute for Neuro- and Bioinformatics, University of Lübeck, Ratzeburger Allee 160, 23538, Germany
Thomas Martinetz , Institute for Neuro- and Bioinformatics, University of Lübeck, Ratzeburger Allee 160, 23538, Germany
Erhardt Barth , Institute for Neuro- and Bioinformatics, University of Lübeck, Ratzeburger Allee 160, 23538, Germany
ABSTRACT
We describe a technique for improving the accuracy of range maps measured by time-of-flight (TOF) cameras. The technique is based on the observation that the range map and intensity image measured by a TOF camera are not independent but are linked by the shading constraint: If the reflectance properties of the surface are known, a certain range map implies a corresponding intensity image. We impose the shading constraint using a probabilistic model of image formation and find a maximum a posteriori estimate for the true range map. We present results on both synthetic and real TOF camera images that demonstrate the robust shape estimates achieved by the algorithm.
CITATION
Martin Bohme, Martin Haker, Thomas Martinetz, Erhardt Barth, "Shading constraint improves accuracy of time-of-flight measurements", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-6, doi:10.1109/CVPRW.2008.4563157
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