Dual-Matrix Sampling for Scalable Translucent Material Rendering

Yu-Ting Wu        Tzu-Mao Li        Yu-Hsun Lin        Yung-Yu Chuang
National Taiwan University

Images rendered by our dual-matrix sampling algorithm.

This paper introduces a scalable algorithm for rendering translucent materials with complex lighting. We represent the light transport with a diffusion approximation by a dual-matrix representation with the Light-to-Surface and Surface-to-Camera matrices. By exploiting the structures within the matrices, the proposed method can locate surface samples with little contribution by using only subsampled matrices and avoid wasting computation on these samples. The decoupled estimation of irradiance and diffuse BSSRDFs also allows us to have a tight error bound, making the adaptive diffusion approximation more efficient and accurate. Experiments show that our method outperforms previous methods for translucent material rendering, especially in large scenes with massive translucent surfaces shaded by complex illumination.

Yu-Ting Wu, Tzu-Mao Li, Yu-Hsun Lin, Yung-Yu Chuang. Dual-Matrix Sampling for Scalable Translucent Material Rendering.
IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 21, No. 3, pp. 363-374, March 2015

TVCG 2015 paper, 9MB PDF