article

A procedural object distribution function

Authors:

Philip DutréAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 24, Issue 4

Pages 1442 - 1461

https://doi.org/10.1145/1095878.1095888

Published: 01 October 2005 Publication History

Abstract

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.

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Cited By

Huang YYuan X(2024)StyleTerrainComputers and Graphics10.1016/j.cag.2023.09.002116:C(373-382)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.cag.2023.09.002
Wang T(2024)Poisson-Disk Sampling: Theory and ApplicationsEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_398(1424-1431)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_398
Bærentzen JFrisvad JMartínez J(2023)Curl Noise JitteringSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618163(1-11)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618163
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Index Terms

A procedural object distribution function
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing
    2. Rendering

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 24, Issue 4

October 2005

244 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1095878

Issue’s Table of Contents

Copyright © 2005 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2005

Published in TOG Volume 24, Issue 4

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Cited By

Huang YYuan X(2024)StyleTerrainComputers and Graphics10.1016/j.cag.2023.09.002116:C(373-382)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.cag.2023.09.002
Wang T(2024)Poisson-Disk Sampling: Theory and ApplicationsEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_398(1424-1431)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_398
Bærentzen JFrisvad JMartínez J(2023)Curl Noise JitteringSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618163(1-11)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618163
Tyburec MZeman J(2023)Bounded Wang tilings with integer programming and graph-based heuristicsScientific Reports10.1038/s41598-023-31786-313:1Online publication date: 24-Mar-2023
https://doi.org/10.1038/s41598-023-31786-3
Deng HLiu YWang BYang JMa LHolzschuch NYan L(2022)Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor DecompositionACM Transactions on Graphics10.1145/350791541:2(1-17)Online publication date: 22-Jan-2022
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Wang SSun Z(2021)Dyeing creation: a textile pattern discovery and fabric image generation methodMultimedia Tools and Applications10.1007/s11042-021-10902-3Online publication date: 4-May-2021
https://doi.org/10.1007/s11042-021-10902-3
Wang T(2021)Poisson-Disk Sampling: Theory and ApplicationsEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_398-1(1-8)Online publication date: 27-May-2021
https://doi.org/10.1007/978-3-319-08234-9_398-1
Brandt SJähn CFischer Mauf der Heide F(2019)Visibility‐Aware Progressive Farthest Point Sampling on the GPUComputer Graphics Forum10.1111/cgf.1384838:7(413-424)Online publication date: 14-Nov-2019
https://doi.org/10.1111/cgf.13848
Tu PLischinski DHuang H(2019)Point Pattern Synthesis via Irregular ConvolutionComputer Graphics Forum10.1111/cgf.1379338:5(109-122)Online publication date: 12-Aug-2019
https://doi.org/10.1111/cgf.13793
Derouet‐Jourdan ASalvati MJonchier T(2019)Generating Stochastic Wall Patterns On‐the‐fly with Wang TilesComputer Graphics Forum10.1111/cgf.1363538:2(255-264)Online publication date: 7-Jun-2019
https://doi.org/10.1111/cgf.13635
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