Vector Field Analysis for Oriented Patterns

Abstract

A method based on the properties of orientation fields is presented for the estimation of a set of symbolic descriptors from nondegenerate linear orientation fields, modeled by two-dimensional first-order phase portraits. It was previously shown that flow orientation is sufficient to characterize a flow pattern and locate its critical point position. A linear estimator is designed to estimate nondegenerate phase portraits. A classification scheme based on their local properties-curl, divergence, and deformation-is developed. Some experimental results are reported.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Shu and Jain. "Vector Field Analysis for Oriented Patterns." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223204

Markdown

[Shu and Jain. "Vector Field Analysis for Oriented Patterns." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/shu1992cvpr-vector/) doi:10.1109/CVPR.1992.223204

BibTeX

@inproceedings{shu1992cvpr-vector,
  title     = {{Vector Field Analysis for Oriented Patterns}},
  author    = {Shu, Chiao-Fe and Jain, Ramesh C.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {673-676},
  doi       = {10.1109/CVPR.1992.223204},
  url       = {https://mlanthology.org/cvpr/1992/shu1992cvpr-vector/}
}