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Solid texturing of complex surfaces

Published: 01 July 1985 Publication History

Abstract

Texturing is an effective method of simulating surface detail at relatively low cost. Traditionally, texture functions have been defined on the two-dimensional surface coordinate systems of individual surface patches. This paper introduces the notion of "solid texturing". Solid texturing uses texture functions defined throughout a region of three-dimensional space. Many nonhomogeneous materials, including wood and stone, may be more realistically rendered using solid texture functions. In addition, solid texturing can easily be applied to complex surface which are difficult to texture using two-dimensional texture functions. The paper gives examples of solid texture functions based on Fourier synthesis, stochastic texture models, projections of two-dimensional textures, and combinations of other solid textures.

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cover image ACM Conferences
SIGGRAPH '85: Proceedings of the 12th annual conference on Computer graphics and interactive techniques
July 1985
332 pages
ISBN:0897911660
DOI:10.1145/325334
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 July 1985

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Author Tags

  1. anti-aliasing
  2. image synthesis
  3. shading
  4. texturing

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SIGGRAPH '85 Paper Acceptance Rate 35 of 175 submissions, 20%;
Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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  • (2024)Unlocking the potential: analyzing 3D microstructure of small-scale cement samples from space using deep learningnpj Microgravity10.1038/s41526-024-00349-910:1Online publication date: 25-Jan-2024
  • (2024)Comparison and validation of stochastic microstructure characterization and reconstruction: Machine learning vs. deep learning methodologiesActa Materialia10.1016/j.actamat.2024.120220278(120220)Online publication date: Oct-2024
  • (2023)STS-GANProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/196(1768-1776)Online publication date: 19-Aug-2023
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  • (2020)Skin Textural Generation via Blue-noise Gabor Filtering based Generative Adversarial NetworkProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413637(2030-2038)Online publication date: 12-Oct-2020
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  • (2016)Simulating the structure and texture of solid woodACM Transactions on Graphics10.1145/2980179.298025535:6(1-11)Online publication date: 5-Dec-2016
  • (2014)Implicit DecalsComputer Graphics Forum10.1111/cgf.1226033:1(141-151)Online publication date: 1-Feb-2014
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