ML Anthology

Geometric Hashing: A General and Efficient Model-Based Recognition Scheme

Yehezkel Lamdan, Haim J. Wolfson
ICCV 1988 pp. 238-249
doi:10.1109/CCV.1988.589995 /iccv/1988/lamdan1988iccv-geometric/

Abstract

A general method for model-based object recognition in occluded scenes is presented. It is based on geometric hashing. The method stands out for its efficiency. We describe the general framework of the method and illustrate its applications for various recogni- tion problems both in 3-D and 2-D. Special attention is given to the recognition of 3-D objects in occluded scenes from 2-D gray scale images. New experimental results are included for this important case.

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Cite

Text

Lamdan and Wolfson. "Geometric Hashing: A General and Efficient Model-Based Recognition Scheme." IEEE/CVF International Conference on Computer Vision, 1988. doi:10.1109/CCV.1988.589995

Markdown

[Lamdan and Wolfson. "Geometric Hashing: A General and Efficient Model-Based Recognition Scheme." IEEE/CVF International Conference on Computer Vision, 1988.](https://mlanthology.org/iccv/1988/lamdan1988iccv-geometric/) doi:10.1109/CCV.1988.589995

BibTeX

@inproceedings{lamdan1988iccv-geometric,
  title     = {{Geometric Hashing: A General and Efficient Model-Based Recognition Scheme}},
  author    = {Lamdan, Yehezkel and Wolfson, Haim J.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1988},
  pages     = {238-249},
  doi       = {10.1109/CCV.1988.589995},
  url       = {https://mlanthology.org/iccv/1988/lamdan1988iccv-geometric/}
}