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ABSTRACT
We describe a new mathematical framework for solving a wide variety of rendering problems based on a non-linear integral scattering equation. This framework treats the scattering functions of complex aggregate objects as first-class rendering primitives; these scattering functions accurately account for all scattering events inside them. We also describe new techniques for computing scattering functions from the composition of scattering objects. We demonstrate that solution techniques based on this new approach can be more efficient than previous techniques based on radiance transport and the equation of transfer and we apply these techniques to a number of problems in rendering scattering from complex surfaces.
REFERENCES
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CITED BY 23
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Wojciech Matusik , Hanspeter Pfister , Remo Ziegler , Addy Ngan , Leonard McMillan, Acquisition and rendering of transparent and refractive objects, Proceedings of the 13th Eurographics workshop on Rendering, June 26-28, 2002, Pisa, Italy
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Pieter Peers , Karl vom Berge , Wojciech Matusik , Ravi Ramamoorthi , Jason Lawrence , Szymon Rusinkiewicz , Philip Dutré, A compact factored representation of heterogeneous subsurface scattering, ACM Transactions on Graphics (TOG), v.25 n.3, July 2006
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Hendrik P. A. Lensch , Michael Goesele , Yung-Yu Chuang , Tim Hawkins , Steve Marschner , Wojciech Matusik , Gero Mueller, Realistic materials in computer graphics, ACM SIGGRAPH 2005 Courses, July 31-August 04, 2005, Los Angeles, California
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Qiqi Wang , David Gleich , Amin Saberi , Nasrollah Etemadi , Parviz Moin, A Monte Carlo method for solving unsteady adjoint equations, Journal of Computational Physics, v.227 n.12, p.6184-6205, June, 2008
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Jiaping Wang , Shuang Zhao , Xin Tong , Stephen Lin , Zhouchen Lin , Yue Dong , Baining Guo , Heung-Yeung Shum, Modeling and rendering of heterogeneous translucent materials using the diffusion equation, ACM Transactions on Graphics (TOG), v.27 n.1, p.1-18, March 2008
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INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.3
COMPUTER GRAPHICS
I.3.7
Three-Dimensional Graphics and Realism
Subjects:
Color, shading, shadowing, and texture
Additional Classification:
G.
Mathematics of Computing
G.3
PROBABILITY AND STATISTICS
Subjects:
Probabilistic algorithms (including Monte Carlo)
I.
Computing Methodologies
I.3
COMPUTER GRAPHICS
I.6
SIMULATION AND MODELING
I.6.8
Types of Simulation
Subjects:
Monte Carlo
General Terms:
Algorithms,
Design,
Measurement,
Performance,
Reliability,
Theory
Keywords:
Chandrasehkar's equation,
Monte Carlo techniques,
adding equations,
equation of transfer,
illumination,
invariant imbedding,
principles of invariance,
reflectance and shading models,
rendering,
scattering function
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