Eurographics Symposium on Rendering 2009 Characteristic Point Maps
Eurographics Symposium on Rendering 2009 Characteristic Point Maps
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通讯作者：
Hendrik P. A. Lensch;Peter-Pike Sloan;Hongzhi Wu;Julie Dorsey;H. Rushmeier
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作者：
Hendrik P. A. Lensch;Peter-Pike Sloan;Hongzhi Wu;Julie Dorsey;H. Rushmeier
在渲染几何体和反射率具有高频变化的对象时，通常需要极密集的空间采样来防止混叠。为了加速渲染过程，我们引入了特征点图（CPM），这是一种与视图无关的点的层次结构，选择这些点可以在不同的尺度上保留原始模型的外观。在预处理中，随机矩阵列采样用于将初始密集采样减少到具有关联权重的最小特征点数目。在渲染中，使用来自特征点的反射率的加权平均来计算反射辐射率。与现有的技术不同，我们的方法不需要对原始的几何形状或反射函数的限制。
Extremely dense spatial sampling is often needed to prevent aliasing when rendering objects with high frequency variations in geometry and reflectance. To accelerate the rendering process, we introduce characteristic point maps (CPMs), a hierarchy of view-independent points, which are chosen to preserve the appearance of the original model across different scales. In preprocessing, randomized matrix column sampling is used to reduce an initial dense sampling to a minimum number of characteristic points with associated weights. In rendering, the reflected radiance is computed using a weighted average of reflectances from characteristic points. Unlike existing techniques, our approach requires no restrictions on the original geometry or reflectance functions.