@InProceedings{LewinerGomeLopeCrai:2004:ArBaCu,
author = "Lewiner, Thomas and Gomes J{\'u}nior, Jo{\~a}o and Lopes,
H{\'e}lio and Craizer, Marcos",
affiliation = "PUC-Rio, Departamento de Matematica, Rio de Janeiro -- Brazil and
INRIA, Geometrica Project, Sophia Antipolis -- France",
title = "Arc-length based curvature estimator",
booktitle = "Proceedings...",
year = "2004",
editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl
and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17.
(SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2
(SIACG)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Differential Geometry, Curvature Estimation, Weighted
Least-Squares, Geometry Processing.",
abstract = "Many applications of geometry processing and computer vision
relies on geometric properties of curves, particularly their
curvature. Several methods have been proposed to estimate the
curvature of a planar curve, most of them for curves in digital
spaces. This work proposes a new method for curvature estimation
based on weighted least square fitting and local arclength
approximation. Convergence analysis of this method and noise
impact on the estimator accuracy are given. Numerical robustness
issues are addressed with practical solutions. The implementation
of the method is compared to other curvature estimation methods.",
conference-location = "Curitiba, PR, Brazil",
conference-year = "17-20 Oct. 2004",
doi = "10.1109/SIBGRA.2004.1352968",
url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352968",
language = "en",
ibi = "6qtX3pFwXQZeBBx/CQiqL",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/CQiqL",
targetfile = "Curvature_Sibgrapi.pdf",
urlaccessdate = "2024, Apr. 27"
}