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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Shading constraint improves accuracy of time-of-flight measurements
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
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
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, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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