[ SIGGRAPH 2011+Technical Papers ]Sampling & Noise

铁锹 3D打印店铺

Sampling & Noise

Tuesday, 9 August 9:00 am - 10:30 am | East Building, Ballroom C

Session Chair: Sylvain Lefebvre, INRIA






Blue-Noise Point Sampling Using Kernel Density Model
A new method for generating spatially varying stochastic-point distributions with blue-noise spec***m in linear time. The method relies on a novel multi-scale strategy that draws samples from an interacting particles statistical model that formalizes the problem.
Raanan Fattal

Hebrew University




Efficient Maximal Poisson-Disk Sampling
This paper solves the problem of generating a uniform Poisson-disk sampling that is both maximal and unbiased over bounded non-convex domains. The method is fast, requires little memory, and is guaranteed to terminate without any bias. The paper also demonstrates a parallel GPU implementation that performs Mps in a bias-free fashion.
Mohamed Ebeida

Sandia National Laboratories
Anjul Patney

University of California, Davis
Scott Mitchell

University of California, Davis
Andrew Davidson

University of California, Davis
Patrick Knupp

Sandia National Laboratories
John Owens

University of California, Davis




Differential Domain Analysis for Non-Uniform Sampling
Existing spatial and spectral methods for analyzing sample distributions are restricted to uniform domains. This paper presents differential domain analysis for general non-uniform scenarios including adaptive, anisotropic, and surface sampling, by reformulating standard Fourier analysis that depends on sample locations into an equivalent form that depends on only location differentials.
Li-Yi Wei

Microsoft Research
Rui Wang

University of Massachusetts Amherst




Filtering Solid Gabor Noise
Existing noise functions either introduce discontinuities of the solid noise at sharp edges (wavelet noise, Gabor noise) or result in detail loss when anti-aliased (Perlin noise, wavelet noise). This paper presents a new noise function that preserves continuity over sharp edges and supports high-quality anti-aliasing.
Ares Lagae

Katholieke Universiteit Leuven and REVES/INRIA Sophia-Antipolis
George Drettakis

REVES/INRIA Sophia-Antipolis

tc

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tc

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