Abstract: Space-time analysis is one of the most robust methods to measure 3D shape.  However, it has some disadvantages, such as large storage burden, high computational load, long waiting time. A fast space-time analysis was proposed which applies the windowed data instead of the whole time series data. The new method greatly reduces the computational load,  storage burden and  waiting time. The experiments on three test objects were implemented. The surfaces using the proposed method are very fine, even the small texture and wave on the surface are also reconstructed. In the quantitative comparison with the traditional spacetime analysis, the accuracies and recalls are as high as 99.8%. what is move, the efficiency is enhanced rapidly. The computational time is just 2% of the traditional one. The experiment results confirm that the windowed space-time analysis can obtain high quality computing result while using very low computing cost.

Key words: space-time analysis, three dimensional measurement； Gaussian filter