The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Robust treatment of collisions, contact and friction for cloth animation
Abstract
We present an algorithm to efficiently and robustly process collisions, contact and friction in cloth simulation. It works with any technique for simulating the internal dynamics of the cloth, and allows true modeling of cloth thickness. We also show how our simulation data can be post-processed with a collision-aware subdivision scheme to produce smooth and interference free data for rendering.
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Cites
OBBTree: a hierarchical structure for rapid interference detection
Gottschalk, S., Lin, M. C., & Manocha, D. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques · doi:10.1145/237170.237244 · Cited by 2,081
Cited by
Collision Detection for Deformable Objects
Teschner, M., Kimmerle, S., Heidelberger, B., Zachmann, G., Raghupathi, L., Fuhrmann, A., Cani, M. ‐., Faure, F., Magnenat‐Thalmann, N., Strasser, W., et al. (2005) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2005.00829.x · Cited by 507
Unified particle physics for real-time applications
Macklin, M., Müller, M., Chentanez, N., & Kim, T.-Y. (2014) · ACM Transactions on Graphics · doi:10.1145/2601097.2601152 · Cited by 447
A Heuristic-Based Approach for Flattening Wrinkled Clothes
Sun, L., Aragon-Camarasa, G., Cockshott, P., Rogers, S., & Siebert, J. P. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-43645-5_16 · Cited by 43
Metadata
- Authors
- Bridson, R., Fedkiw, R., & Anderson, J.
- Venue
- ACM Transactions on Graphics
- Published
- 2002-07
- Volume
- 21
- Issue
- 3
- Pages
- 594-603
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2998248225
- Cited by
- 618
- References
- 1
- FWCI
- 48.30
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
