Journal
COMPUTER-AIDED DESIGN
Volume 37, Issue 8, Pages 791-797Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.cad.2004.09.008
Keywords
knot placement; curve approximation; filtering; locally small deflection spline
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An adaptive knot placement algorithm for B-spline curve approximation to dense and noisy data points is presented in this paper. In this algorithm, the discrete curvature of the points is smoothed to expose the characteristics of the underlying curve. With respect to the integration of the smoothed curvature, knots are placed adaptively to satisfy a heuristic rule. Several experimental results are included to demonstrate the validity of this algorithm. (c) 2005 Elsevier Ltd. All rights reserved.
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