ML Anthology

The Dynamic Generalized Hough Transform

Violet F. Leavers
ECCV 1990 pp. 592-594
doi:10.1007/BFB0014916 /eccv/1990/leavers1990eccv-dynamic/

Abstract

A new algorithm for computing the Hough transform has been presented. It uses information present in the location of the feature points to reduce the generation of evidence in the transform plane. The algorithm gives improved performance compared with the standard Hough transform. The improvement is in computation time and memory allocation. Further advantages of using the algorithm are that peak detection is one dimensional and the end points of curves may be detected. The algorithm is also inherently parallel.

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Cite

Text

Leavers. "The Dynamic Generalized Hough Transform." European Conference on Computer Vision, 1990. doi:10.1007/BFB0014916

Markdown

[Leavers. "The Dynamic Generalized Hough Transform." European Conference on Computer Vision, 1990.](https://mlanthology.org/eccv/1990/leavers1990eccv-dynamic/) doi:10.1007/BFB0014916

BibTeX

@inproceedings{leavers1990eccv-dynamic,
  title     = {{The Dynamic Generalized Hough Transform}},
  author    = {Leavers, Violet F.},
  booktitle = {European Conference on Computer Vision},
  year      = {1990},
  pages     = {592-594},
  doi       = {10.1007/BFB0014916},
  url       = {https://mlanthology.org/eccv/1990/leavers1990eccv-dynamic/}
}