Special Section on High-Speed 3-D Optical Metrology and Applications

Hybrid parallel computing architecture for multiview phase shifting

[+] Author Affiliations
Kai Zhong

Huazhong University of Science and Technology, State Key Laboratory of Material Processing and Die and Mould Technology, Wuhan 430074, China

Zhongwei Li

Huazhong University of Science and Technology, State Key Laboratory of Material Processing and Die and Mould Technology, Wuhan 430074, China

Xiaohui Zhou

Wuhan University, School of Geodesy and Geomatics, Wuhan 430074, China

Yusheng Shi

Huazhong University of Science and Technology, State Key Laboratory of Material Processing and Die and Mould Technology, Wuhan 430074, China

Congjun Wang

Huazhong University of Science and Technology, State Key Laboratory of Material Processing and Die and Mould Technology, Wuhan 430074, China

Opt. Eng. 53(11), 112214 (Jul 23, 2014). doi:10.1117/1.OE.53.11.112214
History: Received January 31, 2014; Revised June 13, 2014; Accepted June 20, 2014
Text Size: A A A

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.

Figures in this Article
© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Kai Zhong ; Zhongwei Li ; Xiaohui Zhou ; Yusheng Shi and Congjun Wang
"Hybrid parallel computing architecture for multiview phase shifting", Opt. Eng. 53(11), 112214 (Jul 23, 2014). ; http://dx.doi.org/10.1117/1.OE.53.11.112214


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.