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Computer modelling of fallen snow
Open accessAbstract
In this paper, we present a new model of snow accumulation and stability for computer graphics. Our contribution is divided into two major components, each essential for modelling the appearance of a thick layer of snowfall on the ground.
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References 30 · Cited by 76
Metadata
- Authors
- Fearing, P.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Fearing, Paul
- Venue
- Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00
- Publisher
- ACM Press
- Published
- 2000
- Pages
- 37-46
- OpenAlex
- W2143495570
- Cited by
- 76
- References
- 30
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2 · 2018: 2 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 3 · 2013: 2 · 2012: 6
- FWCI
- 1.47
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM SIGGRAPH Conference (SIGGRAPH) (publishedVersion)
- Library and Archives Canada (Government of Canada) (submittedVersion)
- cIRcle (University of British Columbia) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › 3D Shape Modeling and Analysis
- Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
- Keywords
- snow accumulation, snow stability, snowfall
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Computer modelling of fallen snow. https://app.cochat.ai/papers/10.1145/344779.344809
- The paper
- Fearing, P. (2000). Computer modelling of fallen snow. Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00. https://doi.org/10.1145/344779.344809
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.
