点云模型特征的提取算法 邹冬;庞明勇 【期刊名称】《农业机械学报》 【年(卷),期】2011(042)011 【摘 要】提出一种基于移动最小二乘法的点云模型尖锐特征提取算法.首先使用投影残差来识别潜在的特征点,然后采用一种优化的主元分析法光顺潜在的特征点,再利用改进的折线生长方法生成特征线,最后为模型建立角点完善提取的特征线.实验表明,本文算法运行稳定,性能优于其他算法,可以准确地捕捉点云模型上的特征线.%Based on the moving least squares method, a method for extracting feature curves from point clouds was presented. Firstly the algorithm calculated projection residuals and potential feature points were identified in point cloud model. The potential feature points were then smoothed by employing a modified version of the principal component analysis approach. Subsequently, a feature-polyline propagation technique was used to approximate the feature points by a set of polylines. Finally the feature curves were optimized by the algorithm to resolve gaps and recover the junctions. Experiments show that the algorithm is very robust, and it can extract feature curves from various point clouds. 【总页数】6页(P222-227) 【作 者】邹冬;庞明勇 【作者单位】南京师范大学教育技术系,南京210097;南京师范大学教育技术系,南京210097 【正文语种】中 文 【中图分类】TP391.9 【相关文献】 1.基于MLS点云模型特征的提取算法 [J], 谢晓尧;葛邵飞 2.基于点云模型骨线提取算法的三维场景漫游路径查找 [J], 张双星;张星 3.基于三维点云模型的特征线提取算法 [J], 刘倩;耿国华;周明全;赵璐璐;李姬俊男 4.基于MLS的点云模型特征提取算法的研究及应用 [J], 王杏;谢晓尧;葛邵飞 5.基于点云模型的低质汉字骨架提取算法 [J], 侯显玲 因版权原因，仅展示原文概要，查看原文内容请购买 本文来源：https://www.wddqw.com/doc/087ba8970ba1284ac850ad02de80d4d8d15a01ad.html