Tileable BTF

Man-Kang Leung , Wai-Man Pang, Chi-Wing Fu, Tien-Tsin Wong , and Pheng-Ann Heng
in IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 5, September-October 2007, pp. 953-965.

Abstract

This paper presents a modular framework to efficiently apply the bidirectional texture functions (BTF) onto object surfaces. The basic building blocks are the BTF tiles. By constructing one set of BTF tiles, a wide variety of objects can be textured seamlessly without re-synthesizing the BTF. The proposed framework nicely decouples the surface appearance from the geometry. With this appearance-geometry decoupling, one can build a library of BTF tile sets to instantaneously dress and render various objects under variable lighting and viewing conditions. The core in our proposed framework is a novel method for synthesizing seamless high-dimensional BTF tiles, which are difficult for existing synthesis techniques. Its key is to shorten the cutting paths and broaden the choices of samples so as to increase the chance of synthesizing seamless BTF tiles. To tackle the enormous data, the tile synthesis process is performed in a compressed domain. This not just allows the handling of large BTF data during the synthesis, but also facilitates compact storage of the BTF in a GPU memory during the rendering.

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