Neural Network Models for Illusory Contour Perception

Skrzypek, Josef; Ringer, Brian

doi:10.1109/CVPR.1992.223202

Neural Network Models for Illusory Contour Perception

Josef Skrzypek, Brian Ringer

CVPR 1992 pp. 681-683

doi:10.1109/CVPR.1992.223202 /cvpr/1992/skrzypek1992cvpr-neural/

Abstract

A physiologically motivated model of illusory contour perception is examined by simulating a neural network architecture that was tested with gray-level images. The results indicate that a model that combines a bottom-up feature aggregation strategy with recurrent processing is best suited for describing this type of perceptual completion.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

CVPR Semantic Scholar

Cite

Text

Skrzypek and Ringer. "Neural Network Models for Illusory Contour Perception." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223202

Markdown

[Skrzypek and Ringer. "Neural Network Models for Illusory Contour Perception." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/skrzypek1992cvpr-neural/) doi:10.1109/CVPR.1992.223202

BibTeX

@inproceedings{skrzypek1992cvpr-neural,
  title     = {{Neural Network Models for Illusory Contour Perception}},
  author    = {Skrzypek, Josef and Ringer, Brian},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {681-683},
  doi       = {10.1109/CVPR.1992.223202},
  url       = {https://mlanthology.org/cvpr/1992/skrzypek1992cvpr-neural/}
}