Comparing Images Using the Hausdorff Distance Under Translation

Huttenlocher, Daniel P.; Rucklidge, William; Klanderman, Gregory A.

doi:10.1109/CVPR.1992.223209

Comparing Images Using the Hausdorff Distance Under Translation

Daniel P. Huttenlocher, William Rucklidge, Gregory A. Klanderman

CVPR 1992 pp. 654-656

doi:10.1109/CVPR.1992.223209 /cvpr/1992/huttenlocher1992cvpr-comparing/

Abstract

Efficient algorithms are provided for computing the Hausdorff distance between a binary image and all possible relative positions (translations) of a model, or a portion of that model. The computation is in many ways similar to binary correlation. However, it is more tolerant of perturbations in the locations of points because it measures proximity rather than exact superposition.< <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

Huttenlocher et al. "Comparing Images Using the Hausdorff Distance Under Translation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223209

Markdown

[Huttenlocher et al. "Comparing Images Using the Hausdorff Distance Under Translation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/huttenlocher1992cvpr-comparing/) doi:10.1109/CVPR.1992.223209

BibTeX

@inproceedings{huttenlocher1992cvpr-comparing,
  title     = {{Comparing Images Using the Hausdorff Distance Under Translation}},
  author    = {Huttenlocher, Daniel P. and Rucklidge, William and Klanderman, Gregory A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {654-656},
  doi       = {10.1109/CVPR.1992.223209},
  url       = {https://mlanthology.org/cvpr/1992/huttenlocher1992cvpr-comparing/}
}