Multiscale curvature-based shape representation using B-spline wavelets

doi:10.1109/83.799886

1999-01-01

PRE

王瑀屏 (Yu-Ping Wang) *

S.L. Lee

Kazuo Toraichi

DOI：10.1109/83.799886

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摘要

En 中文

This paper presents a new multiscale curvature-based shape representation technique with application to curve data compression using B-spline wavelets. The evolution of the curve is implemented in the B-spline scale-space, which enjoys a number of advantages over the classical Gaussian scale-space, for instance, the availability of fast algorithms. The B-spline wavelet transforms are used to efficiently estimate the multiscale curvature functions. Based on the curvature scale-space image, we introduce a coarse-to-fine matching algorithm which automatically detects the dominant points and uses them as knots for curve interpolation.

Keyword:

B spline

curvature function

curve evolution

curve fitting

diffusion equation

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期刊

IEEE Transactions on Image Processing

IF:

13.7

论文数:

1.0W

被引数:

8.4W

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