ML Anthology

Surface Classification: Hypothesis Testing and Parameter Estimation

Patrick J. Flynn, Anil K. Jain
CVPR 1988 pp. 261-267
doi:10.1109/CVPR.1988.196246 /cvpr/1988/flynn1988cvpr-surface/

Abstract

A 3-D surface classification method based on the quadric surface model is described. This technique does not require the points from the surface to lie on a grid. A sample of surface points is classified as planar or nonplanar through two hypothesis tests. If the sample is nonplanar, curvature features are evaluated at each point to classify the sample as spherical, cylindrical, or conical. A nonlinear optimization technique is then used to refine the parameters (e.g. radius, orientation) of the resulting surface type.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Flynn and Jain. "Surface Classification: Hypothesis Testing and Parameter Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196246

Markdown

[Flynn and Jain. "Surface Classification: Hypothesis Testing and Parameter Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/flynn1988cvpr-surface/) doi:10.1109/CVPR.1988.196246

BibTeX

@inproceedings{flynn1988cvpr-surface,
  title     = {{Surface Classification: Hypothesis Testing and Parameter Estimation}},
  author    = {Flynn, Patrick J. and Jain, Anil K.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {261-267},
  doi       = {10.1109/CVPR.1988.196246},
  url       = {https://mlanthology.org/cvpr/1988/flynn1988cvpr-surface/}
}