Simple Data-Driven Modeling of Brushes

William Baxter and Naga Govindaraju

Abstract

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.

Details

Publication typeInproceedings
Published inProc. Symposium on Interactive 3D Graphics (I3D 2010)
PublisherAssociation for Computing Machinery, Inc.
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