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Cited by 676

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Procedural modeling of cities

Parish, Yoav I. H., Müller, Pascal·2001·Proceedings of the 28th annual conference on Computer graphics and interactive techniques

Abstract

Modeling a city poses a number of problems to computer graphics. Every urban area has a transportation network that follows population and environmental influences, and often a superimposed pattern plan. The buildings appearances follow historical, aesthetic and statutory rules. To create a virtual city, a roadmap has to be designed and a large number of buildings need to be generated. We propose a system using a procedural approach based on L-systems to model cities. From various image maps given as input, such as land-water boundaries and population density, our system generates a system of highways and streets, divides the land into lots, and creates the appropriate geometry for the buildings on the respective allotments. For the creation of a city street map, L-systems have been extended with methods that allow the consideration of global goals and local constraints and reduce the complexity of the production rules. An L-system that generates geometry and a texturing system based on texture elements and procedural methods compose the buildings.

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Metadata

Authors
Parish, Y. I. H., & Müller, P.
Venue
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Publisher
ACM
Published
2001-08
Pages
301-308
OpenAlex
W4205503054
Cited by
676
References
10
FWCI
2.88
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Procedural modeling of cities. https://app.cochat.ai/papers/10.1145/383259.383292
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Parish, Y. I. H., & Müller, P. (2001). Procedural modeling of cities. Proceedings of the 28th annual conference on Computer graphics and interactive techniques. https://doi.org/10.1145/383259.383292

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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.