摘要
在计算机几何图像设计、医疗研究诊断、物体判定识别、自动化测量等领域应用的迫切需求下,需要对三维点云动态绘制方法进行研究。目前存在的基于图形处理单元(GPU)的三维点云动态绘制方法。首先根据高度场的形式获得三维点云数据;然后利用高通滤波法对获得的三维点云进行消噪处理;再根据Scene Graph的方法表示三维点云之间的逻辑关系;最后利用GPU完成三维点云的动态绘制。为了降低噪声对三维点云绘制的影响,绘制更加流畅清晰的画面,提出一种基于视点的三维点云自适应多细节层次(LOD)模型动态绘制方法。首先利用激光扫描仪器或结构光扫描仪器等获取三维点云数据,并利用双边滤波器进行平滑去噪;然后根据特征配对的方法对三维点云进行特征对的提取与配准;最后以三维点云特征对配准结果为依据,利用三维点云的内外存调度完成三维点云的自适应LOD动态绘制。实验结果分析证明,所提方法能有效地去除噪声,可以更好地描述目标物体或背景,使绘制画面更加流畅。
In the urgent need of computer geometric image design,medical research and diagnosis,object identification,automatic measurement and other fields,it is necessary to study the dynamic rendering method of threedimensional point clouds. The existing 3D point cloud rendering method based on graphics processing unit(GPU)obtained 3D point cloud data firstly according to the form of height field,and then high-pass filtering method was used to de-noise the obtained 3D point cloud. Then the logic relationship between 3D point clouds was represented by SceneGraph method,and the dynamic rendering of 3D point clouds is completed by GPU. In order to reduce the influence of noise on 3D point cloud rendering and draw a more fluent and clear picture,an adaptive 3D point cloud LOD dynamic rendering method based on viewpoint was proposed. Firstly,3D point cloud data were obtained by using laser scanning instrument or structured light scanning instrument. Then the feature pairs of 3D point clouds were extracted and registered according to the method of feature pairing. Finally,based on the registration results of 3D point cloud features,the adaptive LOD dynamic rendering of 3D point cloud was accomplished by using the internal and external memory scheduling of 3D point cloud. The experimental results show that the proposed method can remove noise effectively,describe the target object or background better,and make the picture more smooth.
作者
孔剑虹
杨超
于晓辉
祁广源
王赜坤
KONG Jian-hong;YANG Chao;YU Xiao-hui;QI Guang-yuan;WANG Ze-kun(Dalian Power Supply Company, State Grid Liaoning Electric Power Co., Ltd, Dalian 116011, China;Office for Economic Restructuring, State Grid Corporation of China, Beijing 100031,China;Wuhan Huaxia Institute of Technology, Wuhan 430223,China)
出处
《科学技术与工程》
北大核心
2019年第12期231-236,共6页
Science Technology and Engineering
基金
湖北省教育厅计划性指导项目(B2014279)资助
