Tatsuya Yatagawa, Hideki Todo, Yasushi Yamaguchi, Shigeo Morishima
Data compression for measured heterogeneous subsurface scattering via scattering profile blending
The Visual Computer 36, pp.541-558, 2020.
Subsurface scattering involves the complicated behavior of light beneath the surfaces of translucent objects that includes scattering and absorption inside the object’s volume 트릭스터. Physically accurate numerical representation of subsurface scattering requires a large number of parameters because of the complex nature of this phenomenon Iptime n150ua driver. The large amount of data restricts the use of the data on memory-limited devices such as video game consoles and mobile phones. To address this problem, this paper proposes an efficient data compression method for heterogeneous subsurface scattering 솔로데이. The key insight of this study is that heterogeneous materials often comprise a limited number of base materials, and the size of the subsurface scattering data can be significantly reduced by parameterizing only a few base materials 인간의 대지. In the proposed compression method, we represent the scattering property of a base material using a function referred to as the base scattering profile 아이폰 하스스톤. A small subset of the base materials is assigned to each surface position, and the local scattering property near the position is described using a linear combination of the base scattering profiles in the log scale 워크래프트 프로즌쓰론. The proposed method reduces the data by a factor of approximately 30 compared to a state-of-the-art method, without significant loss of visual quality in the rendered graphics Download Photoshop Brush. In addition, the compressed data can also be used as bidirectional scattering surface reflectance distribution functions (BSSRDF) without incurring much computational overhead cs5 illustration. These practical aspects of the proposed method also facilitate the use of higher-resolution BSSRDFs in devices with large memory capacity.