Vector field analysis for oriented patterns

Author

Shu, Chiao-fe ; Jain, Ramesh C.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA

fYear

1992

fDate

15-18 Jun 1992

Firstpage

673

Lastpage

676

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

Keywords

computer vision; image recognition; curl; deformation; divergence; flow orientation; flow pattern; linear estimator; nondegenerate linear orientation fields; nondegenerate phase portraits; orientation fields; oriented patterns; symbolic descriptors estimation; two-dimensional first-order phase portraits; vector field analysis; Artificial intelligence; Data visualization; Equations; Fluid flow; Least squares approximation; Parameter estimation; Pattern analysis; Phase estimation; Spirals; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on

Conference_Location

Champaign, IL

ISSN

1063-6919

Print_ISBN

0-8186-2855-3

Type

conf

DOI

10.1109/CVPR.1992.223204

Filename

223204