Abstract | ||
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AbstractThe dynamic simulation of mechanical effects has a long history in computer graphics. The classical methods in this field discretize Newton's second law in a variety of Lagrangian or Eulerian ways, and formulate forces appropriate for each mechanical effect: joints for rigid bodies; stretching, shearing or bending for deformable bodies and pressure, or viscosity for fluids, to mention just a few. In the last years, the class of position-based methods has become popular in the graphics community. These kinds of methods are fast, stable and controllable which make them well-suited for use in interactive environments. Position-based methods are not as accurate as force-based methods in general but they provide visual plausibility. Therefore, the main application areas of these approaches are virtual reality, computer games and special effects in movies. This state-of-the-art report covers the large variety of position-based methods that were developed in the field of physically based simulation. We will introduce the concept of position-based dynamics, present dynamic simulation based on shape matching and discuss data-driven upsampling approaches. Furthermore, we will present several applications for these methods. |
Year | DOI | Venue |
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2014 | 10.1111/cgf.12346 | Periodicals |
Keywords | Field | DocType |
position-based simulation,shape matching,data-driven upsampling,deformable solids,fluids | Graphics,Computer vision,3D computer graphics,Virtual reality,Computer graphics (images),Computer science,Eulerian path,Real-time computer graphics,Artificial intelligence,Upsampling,Computer graphics,Dynamic simulation | Journal |
Volume | Issue | ISSN |
33 | 6 | 0167-7055 |
Citations | PageRank | References |
52 | 1.74 | 51 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jan Bender | 1 | 367 | 25.66 |
Matthias Muller | 2 | 2726 | 122.09 |
Miguel A. Otaduy | 3 | 52 | 1.74 |
Matthias Teschner | 4 | 52 | 1.74 |
Miles Macklin | 5 | 248 | 17.11 |