Deriving Course 3D Models of Objects

Ferrie, Frank P.; Levine, Martin D.

doi:10.1109/CVPR.1988.196258

Deriving Course 3D Models of Objects

Frank P. Ferrie, Martin D. Levine

CVPR 1988 pp. 345-353

doi:10.1109/CVPR.1988.196258 /cvpr/1988/ferrie1988cvpr-deriving/

Abstract

Much of the emphasis in computer vision research has been on recognizing objects. However, in order to perform tasks such as manipulating and avoiding collisions with objects, one needs to consider how to derive appropriate three-dimensional descriptions of objects from available sensor data. A description is given of a computational approach that has been successful in deriving renditions of shaded images in terms of volumetric primitives such as ellipsoids and cylinders.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Ferrie and Levine. "Deriving Course 3D Models of Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196258

Markdown

[Ferrie and Levine. "Deriving Course 3D Models of Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/ferrie1988cvpr-deriving/) doi:10.1109/CVPR.1988.196258

BibTeX

@inproceedings{ferrie1988cvpr-deriving,
  title     = {{Deriving Course 3D Models of Objects}},
  author    = {Ferrie, Frank P. and Levine, Martin D.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {345-353},
  doi       = {10.1109/CVPR.1988.196258},
  url       = {https://mlanthology.org/cvpr/1988/ferrie1988cvpr-deriving/}
}