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点云数据场剖面云图绘制算法
引用本文:徐龙,武殿梁,程奂翀.点云数据场剖面云图绘制算法[J].计算机辅助工程,2011,20(4):19-24.
作者姓名:徐龙  武殿梁  程奂翀
作者单位:上海交通大学机械与动力工程学院,上海200240;上海市网络化制造与企业信息化重点实验室,上海200030
基金项目:上海市信息化发展专项资金
摘    要:为考察点云数据场中关键区域物理量数据分布,提出一种点云数据场剖面云图绘制算法.将点云数据向剖面上投影,通过对获得的二维平面点集进行边界识别建立边环嵌套关系;通过确定物理量与颜色的映射关系对剖面各区域进行颜色填充,可获得点云数据场任意位置的剖面云图.应用结果表明该算法的鲁棒性和适用性较好,可用于考察点云数据场关键区域的物...

关 键 词:点云数据场  云图  K邻域  边界
收稿时间:2010/11/11 0:00:00
修稿时间:1/7/2011 12:00:00 AM

Nephogram-rendering algorithm for piont-cloud
Xu Long,WU Dianliang and CHENG Huanchong.Nephogram-rendering algorithm for piont-cloud[J].Computer Aided Engineering,2011,20(4):19-24.
Authors:Xu Long  WU Dianliang and CHENG Huanchong
Affiliation:Shanghai Jiaotong University School of Mechanical Engineering,School of Mechanical Engineering, Shanghai Jiaotong University and School of Mechanical Engineering, Shanghai Jiaotong University
Abstract:To investigate the physical quantity data distribution of critical regions in point cloud data field, a rendering algorithm on section nephogram is proposed for point cloud data field. Point cloud data is projected to the section, then nested relations between boundary edges are constructed by boundary identification of 2D plane point set; all the region of the section is filled with color according to the mapping between physical quantity and the color, and the section nephogram quantity in arbitrary position of point cloud data field can be obtained. The application results show that the algorithm has good robustness and adaptability, and can be used to study the physical quantity data distribution of critical regions in point cloud data field.
Keywords:point cloud data field  contour  K-neighborhood  boundary  
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