基于MPU 方法的点云模型布尔操作算法
Boolean operation based on MPU method for point clouds
点云模型以离散采样点为基元的几何模型,具有数据结构简单、存储空间紧凑,能够表达任意复杂表面细节,是造型所有表达方式中最自由的一种。然而点云模型一般不能被直接应用,需要对不同应用,采用不同方法曲面重构方法。随着高处理性能的三维扫描设备不断涌现,因此点云模型逐渐增多,并开始拥有大规模,高密度等特点,其应用价值也逐步得到体现。因此对点模型的理论及应用研究就十分必要。本文以点云模型曲面重构的MPU 方法为基础,提出一个高效及高精度的布尔操作方法。该方法基于用点云模型,避免网格模型布尔操作之间相交处的拓扑信息重计算,具有高效率,高准确度,易于实现等优点。
Point cloud models using discrete points as primitive element have many advantages such as data simple structure, compact space, and ability to express complicated surface in detail. However point cloud models usually can not be used directly. According to different applications, have to adopt different surface reconstruction methods .With the developments of technology, high performance 3D scanners come out. As a result, there are more and more point cloud models, some of which have large scale, high density. These all request proper method to handle point cloud model effectively and accurately .The paper put forward a new Boolean operation based on MPU method. Since using point cloud models as operation data, our method can avoid intersection changes which are difficult problem for mesh Boolean operation, and have several strengths such as High efficiency, accuracy, easy implement.
张三元、钟宇亮
计算技术、计算机技术工程设计、工程测绘
点云模型曲面重构MPU 方法布尔操作
point cloud modelsurface reconstructionMPU method Boolean operation
张三元,钟宇亮.基于MPU 方法的点云模型布尔操作算法[EB/OL].(2008-11-21)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200811-649.点此复制
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