Uncertainty in Interpretation of Range Imagery

Abstract

A description is given of a method for automatically deriving a Bayesian probability network from CAD based 3D models. This network may be used to match 3D objects to features derived from range images in the presence of uncertainty. The network describes how evidence for subparts of an object should be combined to calculate the evidence for an object. A prototype model based range interpretation system using this method is also presented. Sample results for an object are presented. For this prototype system, sources of evidence include maximum likelihood estimate fits of circular cylinders, planes, and spheres, as well as boundary data (i.e. edges).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Chelberg. "Uncertainty in Interpretation of Range Imagery." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139612

Markdown

[Chelberg. "Uncertainty in Interpretation of Range Imagery." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/chelberg1990iccv-uncertainty/) doi:10.1109/ICCV.1990.139612

BibTeX

@inproceedings{chelberg1990iccv-uncertainty,
  title     = {{Uncertainty in Interpretation of Range Imagery}},
  author    = {Chelberg, David M.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {654-657},
  doi       = {10.1109/ICCV.1990.139612},
  url       = {https://mlanthology.org/iccv/1990/chelberg1990iccv-uncertainty/}
}