Parallel Blue-noise Sampling by Constrained Farthest Point Optimization
نویسندگان
چکیده
We describe a fast sampling algorithm for generating uniformly-distributed point patterns with good blue noise characteristics. The method, based on constrained farthest point optimization, is provably optimal and may be easily parallelized, resulting in an algorithm whose performance/quality tradeoff is superior to other state-of-theart approaches.
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ورودعنوان ژورنال:
- Comput. Graph. Forum
دوره 31 شماره
صفحات -
تاریخ انتشار 2012