Spherical Diffusion for 3D Surface Smoothing

Authors:
Thomas Bulow
Affiliations:
IEEE
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2004

Citing 12
Cited 12

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Abstract

A diffusion-based approach to surface smoothing is presented. Surfaces are represented as scalar functions defined on the sphere. The approach is equivalent to Gaussian smoothing on the sphere and is computationally efficient since it does not require iterative smoothing. Furthermore, it does not suffer from the well-known shrinkage problem. Evolution of important shape features (parabolic curves) under diffusion is demonstrated. A nonlinear modification of the diffusion process is introduced in order to improve smoothing behavior of elongated and poorly centered objects.