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