Seamless and non-repetitive 4D texture variation synthesis and real-time rendering for measured optical material behavior
Seamless and non-repetitive 4D texture variation synthesis and real-time rendering for measured optical material behavior
复制标题
针对测量的光学材料行为进行无缝且非重复的 4D 纹理变化合成和实时渲染
DOI：
10.1007/s41095-019-0141-4
复制
发表时间：
2019
影响因子：
6.9
通讯作者：
D. Fellner
中科院分区：
文献类型：
--
作者：
M. Ritz;Simon Breitfelder;Pedro Santos;Arjan Kuijper;D. Fellner
我们展示了如何克服现有的全自动系统的单一弱点，用于获取真实的物体表面的空间变化的光学材料行为。虽然空间变化的材料行为的表达与球形依赖于入射光作为一个4D纹理（ABTF材料模型）允许灵活的映射到任意的3D几何形状，与照片逼真的渲染和互动在真实的时间，这种方法的纹理样表示暴露于纹理的常见问题，在两个缺点显着。首先，非无缝纹理在边界处产生可见的伪影。其次，即使是完美无缝的纹理也会导致重复伪影，因为它们在3D表面上大量组织放置。我们已经解决了这两个问题，通过我们的新的纹理合成方法，生成一组无缝的纹理变化随机分布在表面上的着色时间。当与常规2D纹理相比时，4D ABTF材料模型的维度间相干性对纹理合成提出了全新的挑战，这包括在由空间图像域和角度照明半球跨越的整个4D空间中保持材料行为的一致性。此外，我们通过一个专门设计用于重建材料模型中捕获的最突出效果的拟合方案，解决了由众多变化引起的内存消耗增加的问题。
We show how to overcome the single weakness of an existing fully automatic system for acquisition of spatially varying optical material behavior of real object surfaces. While the expression of spatially varying material behavior with spherical dependence on incoming light as a 4D texture (an ABTF material model) allows flexible mapping onto arbitrary 3D geometry, with photo-realistic rendering and interaction in real time, this very method of texture-like representation exposes it to common problems of texturing, striking in two disadvantages. Firstly, non-seamless textures create visible artifacts at boundaries. Secondly, even a perfectly seamless texture causes repetition artifacts due to their organised placement in large numbers over a 3D surface. We have solved both problems through our novel texture synthesis method that generates a set of seamless texture variations randomly distributed over the surface at shading time. When compared to regular 2D textures, the inter-dimensional coherence of the 4D ABTF material model poses entirely new challenges to texture synthesis, which includes maintaining the consistency of material behavior throughout the 4D space spanned by the spatial image domain and the angular illumination hemisphere. In addition, we tackle the increased memory consumption caused by the numerous variations through a fitting scheme specifically designed to reconstruct the most prominent effects captured in the material model.