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SpokeDarts

SpokeDarts sphere-packing sampling in any dimension. Advancing front sampling from radial lines (spokes) through prior samples. Two-spokes provides superior blue noise to traditional Maximal Poisson-disk Sampling, avoiding the distribution spike at exactly the sampling radius. Two-spokes is based on Two-radii from Section 3 in the paper "Variable Radii Poisson-Disk Sampling." http://www.cs.sandia.gov/~samitch/bibliography_2007.html#var-radius-CCCG2012

Compiling

The software has been compiled using Xcode on Mac OS X, and cmake and gcc on Linux. The code uses c++11 extensions. If you want to compile it multithreaded, you should consider disabling the use of the Mem_Pool memory managed pool of objects. See source/build/Readme.txt

Interface

There is a basic interface taking input from standard input. See source/build/Readme.txt for instructions and infile.txt for an example. You can also edit the source code. For examples of how to run the various sampling algorithms and their options, see main.cpp.

Copyright and Credit

Copyright 2016 Sandia Corporation. Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains certain rights in this software. SCR#:2084.0

To credit this work, please cite the following paper and software:

@article{Mitchell:2018:SHB:3191713.3194657, author = {Scott A. Mitchell and Mohamed S. Ebeida and Muhammad A. Awad and Chonhyon Park and Anjul Patney and Ahmad A. Rushdi and Laura P. Swiler and Dinesh Manocha and Li-Yi Wei}, title = {Spoke-Darts for High-Dimensional Blue-Noise Sampling}, journal = {ACM Trans. Graph.}, volume = {37}, number = {2}, month = {May}, year = {2018}, issn = {0730-0301}, pages = {22:1--22:20}, articleno = {22}, numpages = {20}, url = {http://doi.acm.org/10.1145/3194657}, doi = {10.1145/3194657}, acmid = {3194657}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Delaunay graph, Line sampling, blue noise, global optimization, high dimension, motion planning}, note={Open source software available from \url{https://github.com/samitch/SpokeDartsPublic}} } % may 2018

@misc{spokedartspubliccode, author={Muhammad A Awad and Mohamed S Ebeida and Scott A. Mitchell and Anjul Patney and Ahmad A Rushdi and Laura P Swiler}, title={{SpokeDartsPublic} Open-source Software}, howpublished={v. 1.0, \url{https://github.com/samitch/SpokeDartsPublic}}, year={2016} }

% use the "archivePrefix", "eprint", and "primaryClass" fields if your bibliography style handles it, % otherwise usepackage{url} in the latex file and use the "note" field in the bib file entry % see also http://arxiv.org/hypertex/bibstyles/ @Article{spokedarts_arxiv, author = {Scott A. Mitchell and Mohamed S. Ebeida and Muhammad A. Awad and Chonhyon Park and Anjul Patney and Ahmad A. Rushdi and Laura P. Swiler and Dinesh Manocha and Li-Yi Wei}, title = {Spoke-Darts for High-Dimensional Blue-Noise Sampling} journal = "pre-print", volume = "", year = "2018", pages = "19",
eprinttype={arxiv}, archivePrefix = "arXiv", eprint = "1408.1118", primaryClass = "cs.GR", version = {3}, date={2018-6-13}, note = {arXiv:1408.1118 [cs.GR] \url{http://arxiv.org/abs/1408.1118}}, _note={arxiv submission 1038046}, } % date = 5 aug 2014

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SpokeDarts sphere-packing sampling in any dimension. Advancing front sampling from radial lines (spokes) through prior samples.

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