by Hermann, S and Klette, R
Abstract:
Curvature is a frequently used property in twodimensional (2D) shape analysis, directly or for derived features such as corners or convex and concave arcs. This paper presents curvature estimators which follow approaches in differential geometry. Digital-straight segment approximation (as known from digital geometry) is used in those estimators. Results of multigrid experiments are evaluated leading to a comparative performance analysis of several curvature estimators. © 2007 IEEE.
Reference:
A comparative study on 2D curvature estimators (Hermann, S and Klette, R), In Proceedings – International Conference on Computing: Theory and Applications, ICCTA 2007, 2007.
Bibtex Entry:
@inproceedings{hermann2007aestimators,
author = "Hermann, S and Klette, R",
booktitle = "Proceedings - International Conference on Computing: Theory and Applications, ICCTA 2007",
pages = "584--588",
title = "A comparative study on 2D curvature estimators",
year = "2007",
abstract = "Curvature is a frequently used property in twodimensional (2D) shape analysis, directly or for derived features such as corners or convex and concave arcs. This paper presents curvature estimators which follow approaches in differential geometry. Digital-straight segment approximation (as known from digital geometry) is used in those estimators. Results of multigrid experiments are evaluated leading to a comparative performance analysis of several curvature estimators. © 2007 IEEE.",
doi = "10.1109/ICCTA.2007.2",
isbn = "0769527701",
isbn = "9780769527703",
language = "eng",
}