Sampling and reconstruction with adaptive meshes

@article{Terzopoulos1991SamplingAR,
  title={Sampling and reconstruction with adaptive meshes},
  author={Demetri Terzopoulos and Manuela Vasilescu},
  journal={Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year={1991},
  pages={70-75}
}
  • Demetri Terzopoulos, Manuela Vasilescu
  • Published 1991
  • Computer Science
  • Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • An approach to visual sampling and reconstruction motivated by concepts from numerical grid generation is presented. Adaptive meshes that can nonuniformly sample and reconstruct intensity and range data are presented. These meshes are dynamic models which are assembled by interconnecting nodal masses with adjustable springs. Acting as mobile sampling sites, the nodes observe properties of the input data, such as intensities, depths, gradients, and curvatures. Based on these nodal observations… CONTINUE READING

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