Hybrid parallel computing architecture for multiview phase shifting

作者：Zhong Kai; Li Zhongwei^*; Zhou Xiaohui; Shi Yusheng; Wang Congjun

来源：Optical Engineering, 2014, 53(11): 112214.

DOI：10.1117/1.OE.53.11.112214

• hybrid parallel computing architecture
• multiview phase shifting
• real-time three-dimensional measurement
• phase measurement profilometry

The multiview phase-shifting method shows its powerful capability in achieving high resolution three-dimensional (3-D) shape measurement. Unfortunately, this ability results in very high computation costs and 3-D computations have to be processed offline. To realize real-time 3-D shape measurement, a hybrid parallel computing architecture is proposed for multiview phase shifting. In this architecture, the central processing unit can co-operate with the graphic processing unit (GPU) to achieve hybrid parallel computing. The high computation cost procedures, including lens distortion rectification, phase computation, correspondence, and 3-D reconstruction, are implemented in GPU, and a three-layer kernel function model is designed to simultaneously realize coarse-grained and fine-grained paralleling computing. Experimental results verify that the developed system can perform 50 fps (frame per second) real-time 3-D measurement with 260 K 3-D points per frame. A speedup of up to 180 times is obtained for the performance of the proposed technique using a NVIDIA GT560Ti graphics card rather than a sequential C in a 3.4 GHZ Inter Core i7 3770.

• 出版日期2014-11
• 单位武汉大学; 华中科技大学