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Texture and reflection in computer generated images
Open accessAbstract
In 1974 Catmull developed a new algorithm for rendering images of bivariate surface patches. This paper describes extensions of this algorithm in the areas of texture simulation and lighting models. The parametrization of a patch defines a coordinate system which is used as a key for mapping patterns onto the surface. The intensity of the pattern at each picture element is computed as a weighted average of regions of the pattern definition function. The shape and size of this weighting function are chosen using digital signal processing theory. The patch rendering algorithm allows accurate computation of the surface normal to the patch at each picture element, permitting the simulation of mirror reflections. The amount of light coming from a given direction is modeled in a similar manner to the texture mapping and then added to the intensity obtained from the texture mapping. Several examples of images synthesized using these new techniques are included.
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Citations
Cited by
An improved illumination model for shaded display
Whitted, T. (1980) · Communications of the ACM · doi:10.1145/358876.358882 · Cited by 1,768
Markov Random Field Texture Models
Cross, G. R., & Jain, A. K. (1983) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1983.4767341 · Cited by 1,414
Metadata
- Authors
- Blinn, J. F., & Newell, M. E.
- Venue
- Communications of the ACM
- Published
- 1976-10
- Volume
- 19
- Issue
- 10
- Pages
- 542-547
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2063087073
- Cited by
- 772
- References
- 0
- FWCI
- 26.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Texture and reflection in computer generated images. https://app.cochat.ai/papers/10.1145/360349.360353
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- Blinn, J. F., & Newell, M. E. (1976). Texture and reflection in computer generated images. Communications of the ACM. https://doi.org/10.1145/360349.360353
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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.
