Please use this identifier to cite or link to this item: https://doi.org/10.1109/83.799886
Title: Multiscale curvature-based shape representation using B-spline wavelets
Authors: Wang, Y.-P.
Lee, S.L. 
Toraichi, K.
Keywords: B-spline
Curvature function
Curve evolution
Curve fitting
Diffusion equation
Issue Date: 1999
Citation: Wang, Y.-P., Lee, S.L., Toraichi, K. (1999). Multiscale curvature-based shape representation using B-spline wavelets. IEEE Transactions on Image Processing 8 (11) : 1586-1592. ScholarBank@NUS Repository. https://doi.org/10.1109/83.799886
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. © 1999 IEEE.
Source Title: IEEE Transactions on Image Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/103592
ISSN: 10577149
DOI: 10.1109/83.799886
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