摘要
点云边界特征线是指能够表达实物样件原始边界特征的测量点。边界不仅作为表达曲面的重要几何特征,而且作为求解曲面的定义域,对重建曲面模型的品质和精度起着重要作用。提出空间点云边界提取方法获取边界点云数据,然后通过"构造树型特征链"和3次B样条算法实现边界点云数据曲线拟合。
Border feature lines of the point cloud could express the original boundary feature of the measuring points which can reflect objects. Not only can the boundary express genmetric features of the surface, but also it plays an important role in solving the surface domain , rebuilding surface model and precision. Therefore, this paper proposes the boundary extraction method of the point cloud, in order to obtain boundary point cloud data, and achieves curve fitting of the boundary point cloud data with “Tree Chain of Dominant Points”and Cubic B-spline algorithm.
出处
《交通科技与经济》
2009年第6期106-109,共4页
Technology & Economy in Areas of Communications
基金
国家自然科学基金项目(40771159)
关键词
点云
3次B样条曲线
边界提取
曲线拟合
point cloud
Cubic B-spline Curve
boundary extraction
curve fitting
