DocumentCode
3318844
Title
Curve and surface smoothing without shrinkage
Author
Taubin, Gabriel
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
1995
fDate
20-23 Jun 1995
Firstpage
852
Lastpage
857
Abstract
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
Keywords
computational complexity; computational geometry; computer vision; curve fitting; data visualisation; image registration; medical image processing; piecewise-linear techniques; smoothing methods; approximation algorithms; boundary-following algorithms; computational complexity; curve smoothing; edges; faces; faceting; high curvature variations; iso-surface construction algorithms; linear low-pass filter; multimodal medical data registration; piecewise linear shapes; polygonal curves; polyhedral surfaces; required storage; scientific data visualization; shrinkage; surface smoothing; topology; vertices; Approximation algorithms; Computational complexity; Data visualization; Low pass filters; Nonlinear filters; Piecewise linear approximation; Piecewise linear techniques; Shape; Smoothing methods; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location
Cambridge, MA
Print_ISBN
0-8186-7042-8
Type
conf
DOI
10.1109/ICCV.1995.466848
Filename
466848
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