Multiscale curvature-based shape representation using B-spline wavelets.
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.
Wang
Y P
YP
Sch. of Med., Washington Univ., St. Louis, MO 63110, USA. wyp@cauchy.wustl.edu
Lee
S L
SL
Toraichi
K
K