点云模型基于MPU的布尔操作  

Boolean operation based on MPU method for point clouds

作　　者：钟宇亮[1] 张三元[1] 

机构地区：[1]浙江大学计算机科学与技术学院,杭州310027

出　　处：《中国科技论文在线》2010年第2期133-137,共5页

基　　金：高等学校博士学科点专项科研基金(20060335114)

摘　　要：点云模型是以离散采样点为基元的几何模型,然而点云模型一般不能被直接应用,需要对其不同应用,采用不同方法重构曲面。随着高处理性能的三维扫描设备不断涌现,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。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、高准确度和易于实现等优点。Point cloud models using discrete points as primitive element, 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 method 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.

关 键 词：点云模型 曲面重构 MPU方法 布尔操作 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]