Technical Papers

Sampling & Filtering

Friday, 17 December | 4:15 PM - 6:30 PM | Room E5

Presented in English / 영어로 발표 됨

Session Chair

Vladlen Koltun

TOG Article: 166

Parallel Poisson Disk Sampling With Spectrum Analysis on Surfaces

A fast, parallel Poisson disk-surface sampling algorithm suitable for dynamic meshes and introduction of a spectrum-analysis method for directly evaluating sample distribution on arbitrary manifold surfaces.

John Bowers
University of Massachusetts Amherst

Rui Wang
University of Massachusetts Amherst

Li-Yi Wei
Microsoft Research

David Maletz
University of Massachusetts Amherst

TOG Article: 167

Anisotropic Blue Noise Sampling

Anisotropic blue noise sampling extends traditional isotropic dart throwing, relaxation, and Fourier-spectrum analysis techniques for anisotropic scenarios. Applications include stippling, re-meshing, rendering, and object placement.

Hongwei Li
Hong Kong University of Science and Technology

Li-Yi Wei
Microsoft Research

Pedro Sander
Hong Kong University of Science and Technology

Chi-Wing Fu
Nanyang Technological University

TOG Article: 168

Spectral Sampling of Manifolds

This sampling method based on spectral analysis of manifolds results in faithful reconstructions, and it is efficient, out-of-core, feature-sensitive, intuitive to control, and simple to implement.

Cengiz Oztireli
ETH Zurich

Marc Alexa
Technischen Universität Berlin

Markus Gross
ETH Zurich

TOG Article: 169

Accelerating Spatially Varying Gaussian Filters

An acceleration method for approximating spatially varying Gaussian filters. The method offers better filtering quality over the standard bilateral filter with a moderate increase in computational complexity.

Jongmin Baek
Stanford University

David Jacobs
Stanford University