Contour Matching Using Local Affine Transformations

Abstract

A noniterative scheme for determining contour matches using locally affine transformations is proposed. The method assumes that contours are approximated by the orthographic projection of planar patches within oriented neighborhoods of varying sizes. For degenerate cases, a minimal matching solution is chosen closest to the minimal pure translation. Performance on noisy synthetic and natural contour imagery is reported.<<ETX>>

Cite

Text

Bachelder and Ullman. "Contour Matching Using Local Affine Transformations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223169

Markdown

[Bachelder and Ullman. "Contour Matching Using Local Affine Transformations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/bachelder1992cvpr-contour/) doi:10.1109/CVPR.1992.223169

BibTeX

@inproceedings{bachelder1992cvpr-contour,
  title     = {{Contour Matching Using Local Affine Transformations}},
  author    = {Bachelder, Ivan A. and Ullman, Shimon},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {798-801},
  doi       = {10.1109/CVPR.1992.223169},
  url       = {https://mlanthology.org/cvpr/1992/bachelder1992cvpr-contour/}
}