Simple Data-Driven Modeling of Brushes

We present a new and simple data-driven technique for modeling 3D brushes for use in realistic painting programs. Our technique simplifies and accelerates simulation of the constrained dynamics of brushes by using a small lookup table that efficiently encodes the range of feasible constrained states. The result is a brush model which runs an order of magnitude faster than previous physicsbased methods, while at the same time delivering greater deformation fidelity.

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In  Proc. Symposium on Interactive 3D Graphics (I3D 2010)

Publisher  Association for Computing Machinery, Inc.
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