摘要
针对损伤零件的传统点云模型配准过程中存在着运算效率低与损伤部位损伤量确定误差较大等问题,提出一种基于原始ICP算法的改进算法。考虑模型因为损伤而引起的特征与表面形貌的改变,利用法矢夹角进行点云数据的精简,保留模型主要特征,再利用对应点的曲率约束与距离约束设定阈值剔除损伤区域点云,保证对应点之间快速准确地配准。最后,运用Matlab实现改进算法,并利用损伤的轮机叶片点云数据的配准验证该算法的有效性。
In the traditional point cloud model registration process for damaged parts,there are some problems such as low computational efficiency and large error in the damage of damage parts. This paper proposes an improved algorithm based on the original ICP algorithm.Considering the changes of the features and surface topography caused by the damage of the model,the point cloud data is reduced by the normal vector angle,and the main features of the model are retained. Then the curvature constraint and the distance constraint of the corresponding points are used to set the threshold to eliminate the damage point cloud. To ensure fast and accurate registration between the corresponding points.Finally,the improved algorithm is implemented by using Matlab,and the effectiveness of the algorithm is verified by the registration of the damaged blade point cloud data.
作者
魏效玲
孟艺
孙秀军
WEI Xiaoling;MENG Yi;SUN Xiujun(School of Mechanical and Equipment Engineering,Hebei University of Engineering,Handan 056038,CHN)
出处
《制造技术与机床》
北大核心
2020年第5期118-121,共4页
Manufacturing Technology & Machine Tool
基金
河北省科技厅项目(17274502D)
教育部产学合作协同育人项目(201801294018)。
关键词
配准
法矢夹角
损伤零件
ICP算法
registration
normal angle
damaged part
interactive closest point algorith
