基于可变核的自适应光辐射强度估算

摘要

针对传统的K最近邻(K-NN)光辐射强度估算只能通过发射大量的光子、增加光子密度来提高估算精度这一缺陷,提出用具有平滑性的可变核(VK)函数估算光辐射强度,通过计算光子到估算点的距离与该光子预先分配的半径之比,实现与传统估算算法不同的自适应光辐射强度估算.实验结果表明,VK算法不需发射大量光子就能改善图像质量且渲染速度快.%The conventional light radiation intensity estimation of K-Nearest Neighbor (K-NN) algorithm can only be improved by increasing the density of photons. The authors replaced the K-NN algorithm with Variable Kernel (VK) method which inherited the properties of smoothing kernel, and estimated the light radiation intensity for different surface point adaptively by calculating the ratio of the assigned radius of each photon to the distance between the photon and the surface point. The experimental results show that the VK algorithm is faster than K-NN algorithm and it can improve image quality without shooting a great number of photos.