本文研究了提高密集三维测量数据集分析速度的技术。该分析被定义为量化与形状规范的一致性，不涉及粗糙度和波纹度等表面特征。具体来说，用于确定每个点对分析过程的重要性的指标用于在分析早期从迭代中消除某些百分比的点。结果表明，三种简化方法在不降低精度的情况下节省了所需的计算量。 可以采用这些方法来提高分析速度。

This paper investigates techniques for increasing the analysis speed of dense 3D measurement data sets. The analysis is defined as quantifying conformance to form specifications and does not address surface characteristics such as roughness and waviness. Specifically, metrics for determining the importance of each point to the analysis procedures are used to eliminate some percentage of the points from the iterations early in the analysis. The results indicate that the three reduction methods provide a savings in the amount of computations required without a reduction in precision. These methods can be incorporated to provide for increased analysis speed.