Abstract
We present a new surface smoothing method. The method enhances sharp variation points of surface normals and, therefore, is good for stable detection of salient surface creases and natural shape segmentation. The method is based on local weighted averaging (diffusion) of surface normals where weights depend nonlinearly on surface curvatures.
| Original language | English |
|---|---|
| Pages (from-to) | 42-47 |
| Number of pages | 6 |
| Journal | Proceedings of SPIE |
| Volume | 4476 |
| DOIs | |
| Publication status | Published - 2 Nov 2001 |
| Event | International Symposium on Optical Science and Technology 2001 - San Diego, United States Duration: 29 Jul 2001 → 30 Jul 2001 |
Keywords
- Adaptive smoothing
- Nonlinear diffusion of normals
- Surface creases
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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