IEEE Transactions on Visualization and Computer Graphics· 2012Q1
Efficient and Flexible Sampling with Blue Noise Properties of Triangular Meshes
- 338citations
- Q1SCImago
- 2012year
Short summary
A new Constrained Poisson-disk sampling scheme for 3D meshes generates customized point sets with blue noise properties, offering greater flexibility than standard methods.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces Constrained Poisson-disk sampling for 3D meshes.
- Enables customized point set generation, such as importance sampling.
- Achieves distributions with blue noise properties.
- Presents two algorithms based on the new scheme.
- Includes analysis of frequency characterization and performance.
AI-generated from the title and abstract; the full text is not read.
Abstract
This paper deals with the problem of taking random samples over the surface of a 3D mesh describing and evaluating efficient algorithms for generating different distributions. We discuss first the problem of generating a Monte Carlo distribution in an efficient and practical way avoiding common pitfalls. Then, we propose Constrained Poisson-disk sampling, a new Poisson-disk sampling scheme for polygonal meshes which can be easily tweaked in order to generate customized set of points such as importance sampling or distributions with generic geometric constraints. In particular, two algorithms based on this approach are presented. An in-depth analysis of the frequency characterization and performance of the proposed algorithms are also presented and discussed.
The authors' abstract, as published at the source. IEEE Transactions on Visualization and Computer Graphics, 2012 · DOI ↗
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Field: Computer Graphics and Computer-Aided Design
Computer Graphics and Computer-Aided DesignComputer Science