Scattered data interpolation and approximation for computer graphics
Scattered data interpolation and approximation for computer graphics
复制标题
计算机图形学的分散数据插值和近似
DOI：
10.1145/1900520.1900522
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
K. Anjyo
中科院分区：
文献类型：
--
作者：
J. P. Lewis;Frédéric H. Pighin;K. Anjyo
分散数据插值技术的目标是从一组无组织的样本构造一个（通常是平滑的）函数。这些技术在计算机图形学中有广泛的应用。例如，它们可用于根据一组稀疏样本对表面进行建模、根据一组测量值重建 BRDF、对运动捕捉数据进行插值或计算流体的物理属性。本课程将调查和比较分散插值算法，并描述它们在计算机图形学中的应用。尽管本课程的重点是应用这些技术，但我们将介绍一些基础数学理论并简要提及数值注意事项。
The goal of scattered data interpolation techniques is to construct a (typically smooth) function from a set of unorganized samples. These techniques have a wide range of applications in computer graphics. For instance they can be used to model a surface from a set of sparse samples, to reconstruct a BRDF from a set of measurements, to interpolate motion capture data, or to compute the physical properties of a fluid. This course will survey and compare scattered interpolation algorithms and describe their applications in computer graphics. Although the course is focused on applying these techniques, we will introduce some of the underlying mathematical theory and briefly mention numerical considerations.
DOI：
10.1109/cec.2003.1299790
发表时间：
2003-12
期刊：
The 2003 Congress on Evolutionary Computation, 2003. CEC '03.
影响因子：
--
作者：
T. Hatanaka;N. Kondo;K. Uosaki
通讯作者：
T. Hatanaka;N. Kondo;K. Uosaki