scattered data point meaning in English
分散数据点
Examples
- Weighted combination interpolation by piecewise quadric polynomial to scatter data points
散乱数据点分片二次多项式加权平均插值 - Some instances indicate that this algorithm has greatly promoted the speed of using scatter data points to finish surface reconstruction , and really reconstructed surface model
通过实例表明该算法大大加快了散乱数据点群的重构速度,而且能够较为真实的重构出曲面模型。 - In reverse engineering , three - dimensions model surface reconstruction has wide application prospect , so the research on the algorithm of universal and efficient surface reconstruction is one of the most important problems today , especially , on studying scattered data points
在逆向工程中,三维表面重构技术具有广泛的应用前景,通用高效的三维表面重构算法的研究是当今十分重要的课题之一,特别是对采集的数据点是散乱的更为迫切需要研究。 - We construct the algorithm of three - dimensions model surface reconstruction in three stages : first , we use oct - tree to describe scatter data points in space , second find adjacent points and tangent plane and use the triangulation method to realize 3d surface reconstruction in the end , in research on algorithm of three dimensions model surface reconstruction based on scatter data points
在“基于散乱数据三维表面算法的研究”这一章中,首先通过八叉树的数据结构的算法对三维散乱数据进行处理,然后再确定邻点和微切平面,最后用三角网格化的方法完成三维物体表面重构。 - Aiming at the existed problems in reverse engineering techniques concerning triangulation method for scattered data points , display technique of three dimension model based on mesh simplification , and redesign technique for re - constructed surface etc . , this paper studies and proposes the relevant solving schemes , key algorithms and realizing technologies . the chief contributions acquired by this paper include : ( 1 ) an effective 3d triangulation algorithm for scattered data points is put forward . this algorithm solves the problem that data points must be partitioned for multi - projection realized by traditional 2d triangulation methods , and can also triangulate the scattered data points of trimmed surface and concave boundary surface
本文工作针对散乱点集的三角网格划分及优化、基于网格简化的真实感模型显示,以及重构曲面再设计等反求工程的关键技术中还存在的诸多问题,提出了相应的解决方案,并对关键算法和实现技术进行了深入研究,论文的主要成果包括: ( 1 )提出了一种有效的散乱数据点集的3d空间直接三角网格划分算法。