Contour Parametrization via Anisotropic Mean Curvature Flows

Fuente: arXiv
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Autores principales: Suárez-Serrato, P., Richards, E. I. Velázquez
Formato: Preprint
Publicado: 2018
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author Suárez-Serrato, P.
Richards, E. I. Velázquez
author_facet Suárez-Serrato, P.
Richards, E. I. Velázquez
contents We present a new implementation of anisotropic mean curvature flow for contour recognition. Our procedure couples the mean curvature flow of planar closed smooth curves, with an external field from a potential of point-wise charges. This coupling constrains the motion when the curve matches a picture placed as background. We include a stability criteria for our numerical approximation.
format Preprint
id arxiv_https___arxiv_org_abs_1803_03724
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Contour Parametrization via Anisotropic Mean Curvature Flows
Suárez-Serrato, P.
Richards, E. I. Velázquez
Differential Geometry
Computational Geometry
Computer Vision and Pattern Recognition
Analysis of PDEs
Numerical Analysis
We present a new implementation of anisotropic mean curvature flow for contour recognition. Our procedure couples the mean curvature flow of planar closed smooth curves, with an external field from a potential of point-wise charges. This coupling constrains the motion when the curve matches a picture placed as background. We include a stability criteria for our numerical approximation.
title Contour Parametrization via Anisotropic Mean Curvature Flows
topic Differential Geometry
Computational Geometry
Computer Vision and Pattern Recognition
Analysis of PDEs
Numerical Analysis
url https://arxiv.org/abs/1803.03724