ML Anthology

Surface Reconstruction Using Neural Networks

David S. Chen, Ramesh C. Jain, Brian G. Schunck
CVPR 1992 pp. 815-817
doi:10.1109/CVPR.1992.223251 /cvpr/1992/chen1992cvpr-surface/

Abstract

A surface reconstruction method using multilayer feedforward neural networks is proposed. The parametric form represented by multilayer neural networks can model piecewise smooth surfaces in a way that is more general and flexible than many of the classical methods. The approximation method is based on a robust backpropagation (BP) algorithm, which extends the basic BP algorithm to handle errors, especially others, in the training 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

Chen et al. "Surface Reconstruction Using Neural Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223251

Markdown

[Chen et al. "Surface Reconstruction Using Neural Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/chen1992cvpr-surface/) doi:10.1109/CVPR.1992.223251

BibTeX

@inproceedings{chen1992cvpr-surface,
  title     = {{Surface Reconstruction Using Neural Networks}},
  author    = {Chen, David S. and Jain, Ramesh C. and Schunck, Brian G.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {815-817},
  doi       = {10.1109/CVPR.1992.223251},
  url       = {https://mlanthology.org/cvpr/1992/chen1992cvpr-surface/}
}