Data Driven Surface Reflectance from Sparse and Irregular Samples
Data Driven Surface Reflectance from Sparse and Irregular Samples
复制标题
稀疏和不规则样本的数据驱动表面反射率
DOI：
10.1111/j.1467-8659.2012.03010.x
复制
发表时间：
2012
影响因子：
2.5
通讯作者：
Reinhard Klein.
中科院分区：
文献类型：
--
作者：
Roland Ruiters;Christopher Schwartz;Reinhard Klein.
近年来，测量表面反射率已成为制作高质量效果图的既定方法。在这种情况下，特别是非参数表示得到了很多关注，因为它们允许非常准确地表示复杂的反射行为。然而，获取这些数据是一项具有挑战性的任务，特别是如果涉及复杂的物体几何形状。在不同的照明和视图条件下捕获物体的图像导致反射率函数的不规则角度采样，具有有限的角度分辨率。经典的数据驱动技术，如张量分解，不适合这样的数据集，因为它们需要将高维测量数据重新采样到规则网格中。该网格必须具有更高的角度分辨率，以避免重新采样工件，从而导致庞大的数据集。为了克服这些问题，我们引入了一种新颖的、紧凑的数据驱动的反射函数表示，该表示基于可分离函数的和，这些函数直接拟合到不规则的数据集，而无需进一步的重新采样。这种表示允许高效的渲染，也非常适合GPU应用程序。通过利用物体上反射函数的空间相干性，即使是镜面材料也可以通过稀疏输入采样进行非常精确的重建。使用标准的数据插值技术是不可能做到这一点的。由于我们的算法只对压缩表示进行操作，因此它在内存使用和计算复杂性方面都是高效的，仅亚线性地依赖于完全制表数据的大小。反射函数的质量在合成数据集和真实世界的测量值上进行评估。
In recent years, measuring surface reflectance has become an established method for high quality renderings. In this context, especially non‐parametric representations got a lot of attention as they allow for a very accurate representation of complex reflectance behavior. However, the acquisition of this data is a challenging task especially if complex object geometry is involved. Capturing images of the object under varying illumination and view conditions results in irregular angular samplings of the reflectance function with a limited angular resolution. Classical data‐driven techniques, like tensor factorization, are not well suited for such data sets as they require a resampling of the high dimensional measurement data to a regular grid. This grid has to be on a much higher angular resolution to avoid resampling artifacts which in turn would lead to data sets of enormous size. To overcome these problems we introduce a novel, compact data‐driven representation of reflectance functions based on a sum of separable functions which are fitted directly to the irregular set of data without any further resampling. The representation allows for efficient rendering and is also well suited for GPU applications. By exploiting spatial coherence of the reflectance function over the object a very precise reconstruction even of specular materials becomes possible already with a sparse input sampling. This would be impossible using standard data interpolation techniques. Since our algorithm exclusively operates on the compressed representation, it is both efficient in terms of memory use and computational complexity, depending only sub‐linearly on the size of the fully tabulated data. The quality of the reflectance function is evaluated on synthetic data sets as ground truth as well as on real world measurements.
从一组稀疏图像进行基于图像的渲染
DOI：
10.1145/1187112.1187290
发表时间：
2005
期刊：
ACM SIGGRAPH 2008 papers
影响因子：
--
作者：
Todd E. Zickler;S. Enrique;R. Ramamoorthi;P. Belhumeur
通讯作者：
P. Belhumeur
影响因子：
2.5
作者：
R. Ruiters;R. Klein
通讯作者：
R. Ruiters;R. Klein
DOI：
--
发表时间：
2001
期刊：
Rendering Techniques
影响因子：
--
作者：
H. Lensch;M. Goesele;J. Kautz;W. Heidrich;H. Seidel
通讯作者：
H. Seidel