Partitioning Range Images Using Curvature and Scale

Lejeune, André; Ferrie, Frank P.

doi:10.1109/CVPR.1993.341183

Partitioning Range Images Using Curvature and Scale

André Lejeune, Frank P. Ferrie

CVPR 1993 pp. 800-801

doi:10.1109/CVPR.1993.341183 /cvpr/1993/lejeune1993cvpr-partitioning/

Abstract

A method is presented for partitioning a set of surface estimates obtained with a laser range finding system into subsets corresponding to parts of an object. The authors' strategy uses two complementary representations for surfaces, i.e., one which describes local structures in terms of differential properties (e.g., edges, lines, contours) and another which represents the surface as a collection of smooth patches at different scales. By enforcing a consistent interpretation between these two representations, it is possible to derive a partitioning algorithm that is both efficient and robust.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Text

Lejeune and Ferrie. "Partitioning Range Images Using Curvature and Scale." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341183

Markdown

[Lejeune and Ferrie. "Partitioning Range Images Using Curvature and Scale." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/lejeune1993cvpr-partitioning/) doi:10.1109/CVPR.1993.341183

BibTeX

@inproceedings{lejeune1993cvpr-partitioning,
  title     = {{Partitioning Range Images Using Curvature and Scale}},
  author    = {Lejeune, André and Ferrie, Frank P.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {800-801},
  doi       = {10.1109/CVPR.1993.341183},
  url       = {https://mlanthology.org/cvpr/1993/lejeune1993cvpr-partitioning/}
}