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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 |
Appears in Collections: | Staff Publications |
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