Dual-Matrix Sampling for Scalable Translucent Material Rendering

IEEE Trans. Vis. Comput. Graph.(2015)

引用 5|浏览88
暂无评分
摘要
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.
更多
查看译文
关键词
scalable algorithm,approximation theory,ray tracing,scalable translucent material rendering,dual-matrix sampling,matrix algebra,dual-matrix representation,translucent materials,rendering (computer graphics),complex lighting,importance sampling,translucent surface,light transport,ranslucent materials,surface-to-camera matrix,adaptive diffusion approximation,diffusion approximation,sampling methods,light-to-surface matrix,materials,scattering,surface reconstruction,vectors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要