Fifth International Conference on Computer Vision (ICCV'95) Curve and surface smoothing without shrinkage Massachusetts Institute of Technology, Cambridge, Massachusetts June 20-June 23 ISBN: 0-8186-7042-8
For a number of computational purposes, including visualization of scientific data and registration of multimodal medical data, smooth curves must be approximated by polygonal curves, and surfaces by polyhedral surfaces. An inherent problem of these approximation algorithms is that the resulting curves and surfaces appear faceted. Boundary-following and iso-surface construction algorithms are typical examples. To reduce the apparent faceting, smoothing methods are used. In this paper, we introduce a new method for smoothing piecewise linear shapes of arbitrary dimension and topology. This new method is in fact a linear low-pass filter that removes high-curvature variations, and does not produce shrinkage. Its computational complexity is linear in the number of edges or faces of the shape, and the required storage is linear in the number of vertices.
Index Terms:
smoothing methods; computational complexity; curve fitting; piecewise-linear techniques; data visualisation; image registration; medical image processing; computer vision; computational geometry; curve smoothing; surface smoothing; shrinkage; scientific data visualization; multimodal medical data registration; polyhedral surfaces; polygonal curves; approximation algorithms; faceting; boundary-following algorithms; iso-surface construction algorithms; piecewise linear shapes; topology; linear low-pass filter; high curvature variations; computational complexity; edges; faces; required storage; vertices
Citation:
G. Taubin, "Curve and surface smoothing without shrinkage," iccv, pp.852, Fifth International Conference on Computer Vision (ICCV'95), 1995 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||