计算机工程2011，Vol.37Issue(2)：224-226,3.DOI:10.3969/j.issn.1000-3428.2011.02.078
基于CUDA的点云去噪算法
CUDA-based Point Cloud Denoising Algorithm
摘要
Abstract
This paper proposes a Compute Unified Device Architecture(CUDA)-based improved bilateral filtering point cloud denosing algorithm.The point cloud denoising algorithm is divided into several steps in a very high degree of parallelism.It separately designs CUDA kernel functions for each step, effectively emploies the GPU's parallel computing power.It uses Gaussian-weighted method of calculating normal vector and effectively improves the accuracy of normal vector calculation.The bilateral denoising algorithm adds the weight of the area to alleviate the excessive smoothing.Experimental results show that the algorithm is stable and efficient, faster than the CPU calculation of multiple orders of magnitude.关键词
统一计算设备架构/GPU并行计算/点云去噪/双边滤波Key words
Compute Unified Device Architecture(CUDA)/ GPU parallel computing/ point cloud denoising/ bilateral filtering分类
信息技术与安全科学引用本文复制引用
徐波,唐杰,武港山..基于CUDA的点云去噪算法[J].计算机工程,2011,37(2):224-226,3.基金项目
江苏省高技术研究计划(工业)基金资助项目(BG2007037) （工业）
江苏省自然科学基金资助项目(BK2008262) （BK2008262）
