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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)
Published in:SA ’17 – Siggraph Asia 2017, Technical Briefs, Article No 20, 27-30 November 2017, Bangkok, Thailand
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