Spherical diffusion for 3D surface smoothing
| Autor: | Thomas Bülow |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Models
Anatomic Cephalometry Scalar (mathematics) Gaussian blur Geometry Edge-preserving smoothing Pattern Recognition Automated symbols.namesake Artificial Intelligence Humans Gaussian process Mathematics business.industry Applied Mathematics Mathematical analysis Spherical harmonics Nonlinear system Computational Theory and Mathematics Diffusion process symbols Computer Vision and Pattern Recognition Artificial intelligence business Head Software Smoothing |
| Zdroj: | IEEE Transactions on Pattern Analysis and Machine Intelligence. 26:1650-1654 |
| ISSN: | 0162-8828 |
| DOI: | 10.1109/tpami.2004.129 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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