ML Anthology

Distributed Bayesian Object Recognition

Isidore Rigoutsos, Robert A. Hummel
CVPR 1993 pp. 180-186
doi:10.1109/CVPR.1993.340991 /cvpr/1993/rigoutsos1993cvpr-distributed/

Abstract

A new paradigm for performing realistic object recognition is presented. It is shown how several intuitive notions in the context of geometric hashing can be translated into a well-founded Bayesian approach to object recognition. This interpretation leads to well-justified formulas and gives a precise weighted-voting method for the evidence-gathering phase of geometric hashing. A computational model for performing object recognition in a distributed fashion is described. The validity of the authors' paradigm is demonstrated by presenting a prototype system that has been implemented on a small cluster of nondedicated workstations. The resulting system is scalable and can recognize models subjected to 2-D rotation, translation and scale changes in real-world digital imagery. The performance of the system is superior by a factor of 2 to that obtained for a similar system on the Connection Machine-2 (CM-2).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Rigoutsos and Hummel. "Distributed Bayesian Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.340991

Markdown

[Rigoutsos and Hummel. "Distributed Bayesian Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/rigoutsos1993cvpr-distributed/) doi:10.1109/CVPR.1993.340991

BibTeX

@inproceedings{rigoutsos1993cvpr-distributed,
  title     = {{Distributed Bayesian Object Recognition}},
  author    = {Rigoutsos, Isidore and Hummel, Robert A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {180-186},
  doi       = {10.1109/CVPR.1993.340991},
  url       = {https://mlanthology.org/cvpr/1993/rigoutsos1993cvpr-distributed/}
}