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Procedural Fluid Animation using Mirror Image Method
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 Title & Authors
Procedural Fluid Animation using Mirror Image Method
Park, Jin-Ho;
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Physics based fluid animation schemes need large computation cost due to tremendous degree of freedom. Many researchers tried to reduce the cost for solving the large linear system that is involved in grid-based schemes. GPU based algorithms and advanced numerical analysis methods are used to efficiently solve the system. Other groups studied local operation methods such as SPH (Smoothed Particle Hydrodynamics) and LBM (Lattice Boltzmann Method) for enhancing the efficiency. Our method investigates this efficiency problem thoroughly, and suggests novel paradigm in fluid animation field. Rather than physics based simulation, we propose a robust boundary handling technique for procedural fluid animation. Our method can be applied to arbitrary shaped objects and potential fields. Since only local operations are involved in our method, parallel computing can be easily implemented.
Fluid Animation;Vector Potential;Mirror Image Method;Boundary Condition and Procedural Method;
 Cited by
기하적 메쉬를 이용한 왕관형 수면 애니메이션을 구현하기 위한 효율적 방법,이경훈;박진호;

한국콘텐츠학회논문지, 2014. vol.14. 8, pp.13-21 crossref(new window)
An Efficient Method for Crown-Shaped Water Animation Using Geometric Mesh, The Journal of the Korea Contents Association, 2014, 14, 8, 13  crossref(new windwow)
J.J. Monaghan, "An introduction to SPH", Computer Physics Communications, vol. 48, 1988, pp. 88-96.

M. Muller, D. Charypar, and M. Gross, "Particle-based Fluid Simulation for Interactive Applications", Proc. Eurographics/SIGGRAPH Symposium on Computer Animation, 2003, pp. 154-159.

S. Chen and G.D. Doolen, "Lattice Boltzmann Method for Fluid Flows", Annual Review of Fluid Mechanics, vol. 30, 1998, pp. 329-364. crossref(new window)

N. Thurey, K. Iglberger, and U. Rude, "Free Surface Flows with Moving and Deforming Objects with LBM", Proc. VMV'06, 2006.

J. Kruger and R. Westermann, "Linear algebra operators for GPU implementation on numerical algorithms", Proc. ACM SIGGRAPH'05 Courses, 2005.

G.H. Golub and Q. Ye, "Inexact Preconditioned Conjugate Gradient Method with Inner-Outer Iteration", SIAM J. Sci. Comput. vol. 21, 1997, pp. 1305-1320.

W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery, Numerical Recipes: The Art of Scientific Computing, Cambridge University Press, New York, 2007.

K. Sims, "Particle animation and rendering using data parallel computation", Proc. ACM SIGGRAPH'90, 1990, pp. 405-413.

J. Wejchert and D. Haumann, "Animation aerodynamics", Proc. ACM SIGGRAPH'91, 1991, pp. 19-22.

M. Shinya and A. Founier, "Stochastic motion: Motion under the influence of wind", Proc. Eurographics'92, 1992, pp. 119- 128.

J. Stam and E. Fiume, "Turbulent wind fields for gaseous phenomena", Proc. ACM SIGGRAPH'93, 1993, pp. 369-376.

J. Stam, "Stochastic dynamics: Simulating the effects of turbulence on flexible structures", Computer Graphics Forum, vol. 16, Sep. 1997, pp. 159-164. crossref(new window)

K. Perlin, "An image synthesizer", Proc. ACM SIGGRAPH'85, 1985, pp. 287-296.

K. Perlin, "Improving noise", ACM Trans. Graph., vol. 21, no. 3, 2002, pp. 681-682.

K. Perlin and F. Neyret, "Flow noise", ACM SIG-GRAPH Technical Sketches and Applications, 2001, p. 187.

A. Lamorlette and N. Foster, "Structural modeling of flames for a production environment", Proc. ACM SIGGRAPH'02, 2002, pp. 729-735.

J. Kniss and D. Hart, "Volume effects: modeling smoke, fire, and clouds", ACM SIGGRAPH'04 courses, 2004.

M. Patel and N. Taylor, "Simple divergence-free fields for artistic simulation", Journal of graphics tools, vol. 10, no. 4, 2005, pp. 49-60.

V.W. Funck, H. Theisel, and H.P. Seidel, "Vector field based shape deformations", ACM Trans. Graph., vol. 25, no. 3, 2006, pp. 1118-1125. crossref(new window)

F.M. White, Fluid Mechanics (Chap. 8), Mc-Graw Hill, 2006.

J.L. Doob, Classical Potential Theory and Its Probabilistic Counterpart, Springer-Verlag, 2001.

R. Bridson, J. Houriham, and M. Nordenstam, "Curlnoise for procedural fluid flow", ACM Trans. Graph., vol. 26, no. 3, 2007.

I.E. Sutherland, R.F. Sproull, R.A. Schumacker, "A Characterization of Ten Hidden-Surface Algorithms", ACM Computing Surveys, vol. 6, no. 1, 1974.