The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Meshless deformations based on shape matching
Abstract
We present a new approach for simulating deformable objects. The underlying model is geometrically motivated. It handles pointbased objects and does not need connectivity information. The approach does not require any pre-processing, is simple to compute, and provides unconditionally stable dynamic simulations.The main idea of our deformable model is to replace energies by geometric constraints and forces by distances of current positions to goal positions. These goal positions are determined via a generalized shape matching of an undeformed rest state with the current deformed state of the point cloud. Since points are always drawn towards well-defined locations, the overshooting problem of explicit integration schemes is eliminated. The versatility of the approach in terms of object representations that can be handled, the efficiency in terms of memory and computational complexity, and the unconditional stability of the dynamic simulation make the approach particularly interesting for games.
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Cites
A Comparison of Four Algorithms for Estimating 3-D Rigid Transformations.
Larusso, A., Eggert, D., & Fisher, R. (1995) · Procedings of the British Machine Vision Conference 1995 · doi:10.5244/c.9.24 · Cited by 141
Cited by
Physically Based Deformable Models in Computer Graphics
Nealen, A., Müller, M., Keiser, R., Boxerman, E., & Carlson, M. (2006) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2006.01000.x · Cited by 759
Self-citationUnified 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
Self-citationCapturing and animating skin deformation in human motion
Park, S. I., & Hodgins, J. K. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141970 · Cited by 202
(2007) · doi:10.5555/1281991.1282013 · Cited by 88
NNWarp: Neural Network-based Nonlinear Deformation
Luo, R., Shao, T., Wang, H., Xu, W., Chen, X., Zhou, K., & Yang, Y. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2881451 · Cited by 50
Metadata
- Authors
- Müller, M., Heidelberger, B., Teschner, M., & Gross, M.
- Venue
- ACM Transactions on Graphics
- Published
- 2005-07
- Volume
- 24
- Issue
- 3
- Pages
- 471-478
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2171186721
- Cited by
- 564
- References
- 1
- FWCI
- 48.68
- Type
- journal article
- Language
- en
- Open access
- closed
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