.png){kind=icon}
返回
A procedural object distribution function
.png){kind=icon}
PRE
AI
DOI：10.1145/1095878.1095888.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this article, we present a procedural object distribution function, a new texture basis function that distributes procedurally generated objects over a procedurally generated texture. The objects are distributed uniformly over the texture, and are guaranteed not to overlap. The scale, size, and orientation of the objects can be easily manipulated. The texture basis function is efficient to evaluate, and is suited for real-time applications. The new texturing primitive we present extends the range of textures that can be generated procedurally. The procedural object distribution function we propose is based on Poisson disk tiles and a direct stochastic tiling algorithm for Wang tiles. Poisson disk tiles are square tiles filled with a precomputed set of Poisson disk distributed points, inspired by Wang tiles. A single set of Poisson disk tiles enables the real-time generation of an infinite amount of Poisson disk distributions of arbitrary size. With the direct stochastic tiling algorithm, these Poisson disk distributions can be evaluated locally, at any position in the Euclidean plane. Poisson disk tiles and the direct stochastic tiling algorithm have many other applications in computer graphics. We briefly explore applications in object distribution, primitive distribution for illustration, and environment map sampling.
Keyword:
algorithms
nonperiodic tiling
object distribution
Poisson disk distribution
Poisson disk tiles
procedural modeling
procedural texture
sampling
stochastic tiling
texture basis function
Wang tiles
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.5
论文数:
4.7K
被引数:
3.6W
机构
暂无机构信息
引用论文
分享收藏分享收藏Wearable system for outdoor air quality monitoring in a WSN with cloud computing: Design, validation and deployment.png)
Chemosphere
ChemosphereIF0
PREAI
分享收藏
查看更多内容