Skeleton-Space: A Multiscale Shape Description Combining Region and Boundary Information

Abstract

A multiscale extension to the medial axis transform(MAT) or skeleton can be obtained by combining information derived from a scale-space hierarchy of boundary representations with region information provided by the MAT. The skeleton-space is constructed by attributing each skeleton component with a hierarchically ordered sequence of residual values, each expressing the saliency of the component at a distinct resolution level. Since our method amounts to a rather symbolic than iconic computation of a multiscale MAT, it does not introduce the correspondence problem between distinct levels of detail, in contrast to other commonly proposed techniques. Our multiscale MAT is capable of describing complex shapes characterized by significantly jagged boundaries. Furthermore, tracking the evolution of prominent loci of the MAT such as nodes across scales permits to assess the most significant skeleton constituents and to automatically determine pruning parameters. A salient subset of the MAT (first order skeleton) can be extracted without the need of manual threshold adjustment.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Ogniewicz. "Skeleton-Space: A Multiscale Shape Description Combining Region and Boundary Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323891

Markdown

[Ogniewicz. "Skeleton-Space: A Multiscale Shape Description Combining Region and Boundary Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/ogniewicz1994cvpr-skeleton/) doi:10.1109/CVPR.1994.323891

BibTeX

@inproceedings{ogniewicz1994cvpr-skeleton,
  title     = {{Skeleton-Space: A Multiscale Shape Description Combining Region and Boundary Information}},
  author    = {Ogniewicz, Robert L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {746-751},
  doi       = {10.1109/CVPR.1994.323891},
  url       = {https://mlanthology.org/cvpr/1994/ogniewicz1994cvpr-skeleton/}
}