Blue-noise Optimized Point Sets Based on Procrustes Analysis
Please always quote using this URN: urn:nbn:de:0297-zib-65356
- In this paper, we propose a new method for optimizing the blue noise characteristics of point sets. It is based on Procrustes analysis, a technique for adjusting shapes to each other by applying optimal elements of an appropriate transformation group. We adapt this technique to the problem at hand and introduce a very simple, efficient and provably convergent point set optimizer.
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| Author: | Chavdar Papazov, Hans-Christian HegeORCiDGND |
|---|---|
| Document Type: | ZIB-Report |
| Fulltext Url: | http://dx.doi.org/10.1145/3145749.3149442 |
| Tag: | Procrustes analysis; blue-noise; point set optimization; triangulation |
| CCS-Classification: | I. Computing Methodologies / I.3 COMPUTER GRAPHICS / I.3.m Miscellaneous |
| Date of first Publication: | 2017/10/17 |
| Series (Serial Number): | ZIB-Report (17-55) |
| ISSN: | 1438-0064 |
| Published in: | SA ’17 – Siggraph Asia 2017, Technical Briefs, Article No 20, 27-30 November 2017, Bangkok, Thailand |
