ML Anthology

Shading Constraint Improves Accuracy of Time-of-Flight Measurements

Martin Böhme, Martin Haker, Thomas Martinetz, Erhardt Barth
CVPRW 2008 pp. 1-6
doi:10.1109/CVPRW.2008.4563157 /cvprw/2008/bohme2008cvprw-shading/

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.

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Cite

Text

Böhme et al. "Shading Constraint Improves Accuracy of Time-of-Flight Measurements." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563157

Markdown

[Böhme et al. "Shading Constraint Improves Accuracy of Time-of-Flight Measurements." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/bohme2008cvprw-shading/) doi:10.1109/CVPRW.2008.4563157

BibTeX

@inproceedings{bohme2008cvprw-shading,
  title     = {{Shading Constraint Improves Accuracy of Time-of-Flight Measurements}},
  author    = {Böhme, Martin and Haker, Martin and Martinetz, Thomas and Barth, Erhardt},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-6},
  doi       = {10.1109/CVPRW.2008.4563157},
  url       = {https://mlanthology.org/cvprw/2008/bohme2008cvprw-shading/}
}