ML Anthology

Pulsed Neural Networks and Perceptive Grouping

Dominique Derou, Laurent Hérault
ECCV 1994 pp. 521-526
doi:10.1007/3-540-57956-7_59 /eccv/1994/derou1994eccv-pulsed/

Abstract

Tracking elementary features and coherently grouping them is an important problem in computer vision and a real challenging feature extraction problem. Perceptual grouping techniques can be applied to some feature tracking problems. Such an approach is presented in this paper. Moreover we show how a perceptual grouping problem can be expressed as a global optimization problem. In order to solve it, we devise an original neural network, called pulsed neural network. The specific application concerned here is particle tracking velocimetry in fluid mechanics.

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Text

Derou and Hérault. "Pulsed Neural Networks and Perceptive Grouping." European Conference on Computer Vision, 1994. doi:10.1007/3-540-57956-7_59

Markdown

[Derou and Hérault. "Pulsed Neural Networks and Perceptive Grouping." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/derou1994eccv-pulsed/) doi:10.1007/3-540-57956-7_59

BibTeX

@inproceedings{derou1994eccv-pulsed,
  title     = {{Pulsed Neural Networks and Perceptive Grouping}},
  author    = {Derou, Dominique and Hérault, Laurent},
  booktitle = {European Conference on Computer Vision},
  year      = {1994},
  pages     = {521-526},
  doi       = {10.1007/3-540-57956-7_59},
  url       = {https://mlanthology.org/eccv/1994/derou1994eccv-pulsed/}
}