Perceptual Organization Using Bayesian Networks

Sarkar, Sudeep; Boyer, Kim L.

doi:10.1109/CVPR.1992.223267

Perceptual Organization Using Bayesian Networks

Sudeep Sarkar, Kim L. Boyer

CVPR 1992 pp. 251-256

doi:10.1109/CVPR.1992.223267 /cvpr/1992/sarkar1992cvpr-perceptual/

Abstract

It is shown that the formalism of Bayesian networks provides an elegant solution, in a probabilistic framework, to the problem of integrating top-down and bottom-up visual processes as well serving as a knowledge base. The formalism is modified to handle spatial data and thus extends the applicability of Bayesian networks to visual processing. The modified form is called the perceptual inference network (PIN). The theoretical background of a PIN is presented, and its viability is demonstrated in the context of perceptual organization. The PIN imparts an active inferential and integrating nature to perceptual organization.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Sarkar and Boyer. "Perceptual Organization Using Bayesian Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223267

Markdown

[Sarkar and Boyer. "Perceptual Organization Using Bayesian Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/sarkar1992cvpr-perceptual/) doi:10.1109/CVPR.1992.223267

BibTeX

@inproceedings{sarkar1992cvpr-perceptual,
  title     = {{Perceptual Organization Using Bayesian Networks}},
  author    = {Sarkar, Sudeep and Boyer, Kim L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {251-256},
  doi       = {10.1109/CVPR.1992.223267},
  url       = {https://mlanthology.org/cvpr/1992/sarkar1992cvpr-perceptual/}
}