How to Tell Right from Left [chirality for 2-D Binary Shapes]

Yacov Hel-Or, Shmuel Peleg, Hagit Zabrodsky

CVPR 1988 pp. 304-309

doi:10.1109/CVPR.1988.196253 /cvpr/1988/helor1988cvpr-tell/

Abstract

The authors study the notion of chirality for two-dimensional binary shapes, and introduce measures to test whether a shape is symmetric, and if not whether it is left-handed or right-handed. The measures are based on boundary analysis, and perform well even when digital images of left-handed shapes differ from the mirror images of right-handed shapes. Such situations may occur due to natural variations and digitization errors. The measures can also successfully treat partially occluded shapes, and provide indications on the change of chirality as resolution changes.<<ETX>>

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Cite

Text

Hel-Or et al. "How to Tell Right from Left [chirality for 2-D Binary Shapes]." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196253

Markdown

[Hel-Or et al. "How to Tell Right from Left [chirality for 2-D Binary Shapes]." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/helor1988cvpr-tell/) doi:10.1109/CVPR.1988.196253

BibTeX

@inproceedings{helor1988cvpr-tell,
  title     = {{How to Tell Right from Left [chirality for 2-D Binary Shapes]}},
  author    = {Hel-Or, Yacov and Peleg, Shmuel and Zabrodsky, Hagit},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {304-309},
  doi       = {10.1109/CVPR.1988.196253},
  url       = {https://mlanthology.org/cvpr/1988/helor1988cvpr-tell/}
}