用规则立方体网格分类索引牙颌表面的大规模散乱三角面片

Using Regular Cube Grids to Accelerate Indexing of Massive Scattered 3D Scanning Data of Dental Cast

摘要: 针对牙颌模型的特种激光测量方法,提出了通过规则的立方体网格对大规模散乱三角面片进行分类索引的算法.该算法计算效率高,存储开销小.研究成果可以用于处理比较有规律的扫描数据样本,即具有相邻层基本拓扑对应关系的大规模数据点的三角化及基于三角面片的计算问题.

Abstract: The dental cast surface is represented by triangle faces.An approach of using uniform cube grids to classify and index massive scattered triangle faces is presented.It is highly efficient in computation and takes low storage space.