ML Anthology

Inferring Global Perceptual Contours from Local Features

Gideon Guy, Gérard G. Medioni
CVPR 1993 pp. 786-787
doi:10.1109/CVPR.1993.341175 /cvpr/1993/guy1993cvpr-inferring/

Abstract

An attempt is made to solve the problem of imperfect data produced by state-of-the-art edge detectors through the implementation of laws of perceptual grouping, derived from psychology. A saliency-enhancing operator is introduced. It is capable of highlighting features (edges, junctions, etc.) which are considered important psychologically. It also infers features which are not detected by low-level detectors. It is shown how to extract salient curves and junctions and generate a description ranking these features by the likelihood of them occurring accidentally. The problem of illusory contours apparent in end-point formations is discussed. All operations are parameter-free, noniterative and are linear with the number of edges in the input image.< <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

Guy and Medioni. "Inferring Global Perceptual Contours from Local Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341175

Markdown

[Guy and Medioni. "Inferring Global Perceptual Contours from Local Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/guy1993cvpr-inferring/) doi:10.1109/CVPR.1993.341175

BibTeX

@inproceedings{guy1993cvpr-inferring,
  title     = {{Inferring Global Perceptual Contours from Local Features}},
  author    = {Guy, Gideon and Medioni, Gérard G.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {786-787},
  doi       = {10.1109/CVPR.1993.341175},
  url       = {https://mlanthology.org/cvpr/1993/guy1993cvpr-inferring/}
}