ML Anthology

Closed-Form Solutions for Physically-Based Shape Modeling and Recognition

Stan Sclaroff, Alex Pentland
CVPR 1991 pp. 238-243
doi:10.1109/CVPR.1991.139695 /cvpr/1991/sclaroff1991cvpr-closed/

Abstract

An efficient, physically based solution for recovering a 3-D solid model from collections of 3-D surface measurements is presented. Given a sufficient number of independent measurements, the solution is overconstrained and unique except for rotational symmetries. A physically based object recognition method that allows simple, closed-form comparisons of recovered 3-D solid models is given. The performance of these methods is evaluated using both synthetic and real laser rangefinder data.< <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

Sclaroff and Pentland. "Closed-Form Solutions for Physically-Based Shape Modeling and Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139695

Markdown

[Sclaroff and Pentland. "Closed-Form Solutions for Physically-Based Shape Modeling and Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/sclaroff1991cvpr-closed/) doi:10.1109/CVPR.1991.139695

BibTeX

@inproceedings{sclaroff1991cvpr-closed,
  title     = {{Closed-Form Solutions for Physically-Based Shape Modeling and Recognition}},
  author    = {Sclaroff, Stan and Pentland, Alex},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {238-243},
  doi       = {10.1109/CVPR.1991.139695},
  url       = {https://mlanthology.org/cvpr/1991/sclaroff1991cvpr-closed/}
}