为了快速准确地对3维光学测量的缺失数据进行插值，以利于后期对比研究，提出了基于优先度排序的3维数据缺失快速插补估算方法，并把该算法用于插补模拟实验数据以及20帧振动扬声器测试数据的验证。结果表明，与其它常用缺失数据插补方法相比，该方法运算速度快、插补效果好，有利于处理3维测量结果的多帧和大量的数据。

In order to interpolate these missing data of 3-D measurement quickly and accurately and achieve further comparison study, the estimation method of fast interpolation of 3-D data based on priority was proposed. This algorithm was used to interpolate both the data of simulation experiment and twenty frames vibrating speaker. Compared with other common interpolation algorithm, this new algorithm is time-saving and its result is much better. It can be used to handle large amounts of data of 3-D shape measurement.