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Solid texturing of complex surfaces
Open accessAbstract
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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Citations
Cited by
Artificial evolution for computer graphics
Sims, K. (1991) · Proceedings of the 18th annual conference on Computer graphics and interactive techniques · doi:10.1145/122718.122752 · Cited by 741
Artificial evolution for computer graphics
Sims, K. (1991) · ACM SIGGRAPH Computer Graphics · doi:10.1145/127719.122752 · Cited by 435
Witkin, A., & Kass, M. (1991) · Proceedings of the 18th annual conference on Computer graphics and interactive techniques · doi:10.1145/122718.122750 · Cited by 300
Metadata
- Authors
- Peachey, D. R.
- Venue
- ACM SIGGRAPH Computer Graphics
- Published
- 1985-07
- Volume
- 19
- Issue
- 3
- Pages
- 279-286
- ISSN
- 0097-8930 (ISSN-L)
- OpenAlex
- W2097177823
- Cited by
- 337
- References
- 0
- FWCI
- 9.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Solid texturing of complex surfaces. https://app.cochat.ai/papers/10.1145/325165.325246
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- Peachey, D. R. (1985). Solid texturing of complex surfaces. ACM SIGGRAPH Computer Graphics. https://doi.org/10.1145/325165.325246
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.