Hybrid parallel computing architecture for multiview phase shifting

Kai Zhong; Zhongwei Li; Xiaohui Zhou; Yusheng Shi; Congjun Wang

doi:10.1117/1.OE.53.11.112214

23 July 2014 Hybrid parallel computing architecture for multiview phase shifting

Kai Zhong, Zhongwei Li, Xiaohui Zhou, Yusheng Shi, Congjun Wang

Author Affiliations +

Optical Engineering, Vol. 53, Issue 11, 112214 (July 2014). https://doi.org/10.1117/1.OE.53.11.112214

Abstract

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.

Citation Download Citation

Kai Zhong, Zhongwei Li, Xiaohui Zhou, Yusheng Shi, and Congjun Wang "Hybrid parallel computing architecture for multiview phase shifting," Optical Engineering 53(11), 112214 (23 July 2014). https://doi.org/10.1117/1.OE.53.11.112214

Published: 23 July 2014

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