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Improving Visible-Surface Reconstruction

Jinn-Yeu Jou, Alan C. Bovik
CVPR 1988 pp. 138-143
doi:10.1109/CVPR.1988.196227 /cvpr/1988/jou1988cvpr-improving/

Abstract

Techniques are described for improving the speed and accuracy of iterative visible-surface reconstruction algorithms. In particular, the importance of obtaining accurate early information is emphasized, both in the initial surface approximation and in the early localization of surface discontinuities. The first of these goals is attained using a simple technique known as constraint expansion, which yields a good initial approximation while accounting for detected discontinuities. The second goal is attained by using the locations of the image intensity edges as a guide in locating potential discontinuities.< <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

Jou and Bovik. "Improving Visible-Surface Reconstruction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196227

Markdown

[Jou and Bovik. "Improving Visible-Surface Reconstruction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/jou1988cvpr-improving/) doi:10.1109/CVPR.1988.196227

BibTeX

@inproceedings{jou1988cvpr-improving,
  title     = {{Improving Visible-Surface Reconstruction}},
  author    = {Jou, Jinn-Yeu and Bovik, Alan C.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {138-143},
  doi       = {10.1109/CVPR.1988.196227},
  url       = {https://mlanthology.org/cvpr/1988/jou1988cvpr-improving/}
}