The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Botanical Tree Image Generation
Abstract
The authors present botanical trees as models of biological objects, first by defining their developmental rules in a discrete grammatical form, then by defining them in continuous geometric forms. Having analyzed these models from several standpoints, they have developed an interactive synthetic tree manipulation system called the A-system. The A-system incorporates such constructs as leaves, shadows, and shades and can perform three-dimensional transformations of a tree. One of its applications is to assist with landscaping, which includes gardening and the design of street plants.
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Citations
Cites
Chomsky, N. (1957) · doi:10.1515/9783112316009 · Cited by 7,885
Cited by
Efficient ray tracing of volume data
Levoy, M. (1990) · ACM Transactions on Graphics · doi:10.1145/78964.78965 · Cited by 991
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
Real time design and animation of fractal plants and trees
Oppenheimer, P. E. (1986) · ACM SIGGRAPH Computer Graphics · doi:10.1145/15886.15892 · Cited by 279
Metadata
- Authors
- Aono, M., & Kunii, T. L.
- Venue
- IEEE Computer Graphics and Applications
- Published
- 1984-05
- Volume
- 4
- Issue
- 5
- Pages
- 10-34
- ISSN
- 0272-1716 (ISSN-L)
- OpenAlex
- W2015965979
- Cited by
- 272
- References
- 1
- FWCI
- 11.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Botanical Tree Image Generation. https://app.cochat.ai/papers/10.1109/mcg.1984.276141
- The paper
- Aono, M., & Kunii, T. L. (1984). Botanical Tree Image Generation. IEEE Computer Graphics and Applications. https://doi.org/10.1109/mcg.1984.276141
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.
