منابع مشابه
Projective Blue-Noise Sampling
Wepropose projective blue-noise patterns that retain their blue-noise characteristics when undergoing one ormultiple projections onto lower dimensional subspaces. These patterns are produced by extending existing methods, such as dart throwing and Lloyd relaxation, and have a range of applications. For numerical integration, our patterns often outperform state-of-the-art stochastic and low-disc...
متن کاملBlue noise sampling of surfaces
We present an algorithm to generate point distributions with high-quality blue noise characteristics on discrete surfaces. It is based on the concept of Capacity-Constrained Surface Triangulation (CCST), which approximates the underlying continuous surface as a well-formed triangle mesh with uniform triangle areas. The algorithm takes a triangle mesh and the number of sample points as input, an...
متن کاملAliasing-Free Blue Noise Sampling
In this paper we revisit the problem of blue noise sampling with a strong focus on the spectral behavior of the sampling patterns. We use the mathematical relationship between the radial power spectrum and the radial distribution function to synthesize two types of blue noise patterns: ideal blue noise patterns that have a power spectrum in form of a step function and produce almost no coherent...
متن کاملSpoke Darts for Efficient High Dimensional Blue Noise Sampling
Blue noise refers to sample distributions that are random and wellspaced, with a variety of applications in graphics, geometry, and optimization. However, prior blue noise sampling algorithms typically suffer from the curse-of-dimensionality, especially when striving to cover a domain maximally. This hampers their applicability for high dimensional domains. We present a blue noise sampling meth...
متن کاملFeature-preserving Direct Blue Noise Sampling for Surface Meshes
We present a new direct Poisson disk sampling for surface meshes. Our objective is to sample triangular meshes, while satisfying good blue noise properties, but also preserving features. Our method combines a feature detection technique based on vertex curvature, and geodesic-based dart throwing. Our method is fast, automatic, and experimental results prove that our method is well-suited to CAD...
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ژورنال
عنوان ژورنال: ACM Transactions on Graphics
سال: 2010
ISSN: 0730-0301,1557-7368
DOI: 10.1145/1778765.1778816