23 July 2014 Hybrid parallel computing architecture for multiview phase shifting
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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.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Kai Zhong, Kai Zhong, Zhongwei Li, Zhongwei Li, Xiaohui Zhou, Xiaohui Zhou, Yusheng Shi, Yusheng Shi, Congjun Wang, 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 . Submission:
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