Espinosa-Romero Arturo, Legarda-Saenz Ricardo
Facultad de Matemáticas, Universidad Autónoma de Yuctán, Apdo. Postal 172, 97110 Mérida, Yuctán, México.
Opt Express. 2011 Jun 20;19(13):12125-30. doi: 10.1364/OE.19.012125.
In this article, we propose a massively parallel, real-time algorithm for the estimation of the dynamic phase map of a vibrating object. The algorithm implements a Fourier-based quadrature transform and temporal phase unwrapping technique. CUDA, a graphic processing unit programming architecture was used to implement the algorithm. It was tested on a fringe pattern sequence using three devices with different capabilities, achieving a processing rate greater than 1600 frames per second (fps).
在本文中,我们提出了一种用于估计振动物体动态相位图的大规模并行实时算法。该算法实现了基于傅里叶的正交变换和时间相位展开技术。使用图形处理单元编程架构CUDA来实现该算法。它在具有不同性能的三种设备上对条纹图案序列进行了测试,实现了大于每秒1600帧(fps)的处理速率。