Interesting Patterns for Model-Based Machine Vision

Henikoff, Jorja G.; Shapiro, Linda G.

doi:10.1109/ICCV.1990.139590

Interesting Patterns for Model-Based Machine Vision

Jorja G. Henikoff, Linda G. Shapiro

ICCV 1990 pp. 535-538

doi:10.1109/ICCV.1990.139590 /iccv/1990/henikoff1990iccv-interesting/

Abstract

The author's work builds on D.G. Lowe's (1987) theory of perceptual groupings. Minimal processing is applied to an image to extract edges. The edges are then represented as well-defined two-dimensional patterns that the authors call interesting patterns. No attempt is made to infer three-dimensional structure from the patterns, and they are matched against two-dimensional models which are projections of characteristic views of three-dimensional objects. The patterns are built up from modular building blocks called triples.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Henikoff and Shapiro. "Interesting Patterns for Model-Based Machine Vision." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139590

Markdown

[Henikoff and Shapiro. "Interesting Patterns for Model-Based Machine Vision." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/henikoff1990iccv-interesting/) doi:10.1109/ICCV.1990.139590

BibTeX

@inproceedings{henikoff1990iccv-interesting,
  title     = {{Interesting Patterns for Model-Based Machine Vision}},
  author    = {Henikoff, Jorja G. and Shapiro, Linda G.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {535-538},
  doi       = {10.1109/ICCV.1990.139590},
  url       = {https://mlanthology.org/iccv/1990/henikoff1990iccv-interesting/}
}