Hypothesizing and Testing Geometric Attributes of Image Data

Kanatani, Kenichi

doi:10.1109/ICCV.1990.139553

Hypothesizing and Testing Geometric Attributes of Image Data

Kenichi Kanatani

ICCV 1990 pp. 370-373

doi:10.1109/ICCV.1990.139553 /iccv/1990/kanatani1990iccv-hypothesizing/

Abstract

A general formalism for detecting geometric configurations of image data is presented. The author first estimates an ideal geometric configuration that supposedly exists, and then checks to what extent the original edges must be displaced in order to support the hypothesis. All types of tests are reduced to computing a single measure of edge displacement which provides a universal measure of uncertainty applicable to all types of decision-making.< <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

Kanatani. "Hypothesizing and Testing Geometric Attributes of Image Data." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139553

Markdown

[Kanatani. "Hypothesizing and Testing Geometric Attributes of Image Data." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/kanatani1990iccv-hypothesizing/) doi:10.1109/ICCV.1990.139553

BibTeX

@inproceedings{kanatani1990iccv-hypothesizing,
  title     = {{Hypothesizing and Testing Geometric Attributes of Image Data}},
  author    = {Kanatani, Kenichi},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {370-373},
  doi       = {10.1109/ICCV.1990.139553},
  url       = {https://mlanthology.org/iccv/1990/kanatani1990iccv-hypothesizing/}
}