High-resolution, real-time three-dimensional shape measurement on graphics processing unit

Nikolaus L. Karpinsky; Morgan Hoke; Vincent Chen; Song Zhang

doi:10.1117/1.OE.53.2.024105

18 February 2014 High-resolution, real-time three-dimensional shape measurement on graphics processing unit

Nikolaus L. Karpinsky, Morgan Hoke, Vincent Chen, Song Zhang

Author Affiliations +

Funded by: National Science Foundation (NSF) Graduate Research Fellowship, National Science Foundation (NSF), NSF

Optical Engineering, Vol. 53, Issue 2, 024105 (February 2014). https://doi.org/10.1117/1.OE.53.2.024105

Abstract

A three-dimensional (3-D) shape measurement system that can simultaneously achieve 3-D shape acquisition, reconstruction, and display at 30 frames per second (fps) with 480,000 measurement points per frame is presented. The entire processing pipeline was realized on a graphics processing unit (GPU) without the need of substantial central processing unit (CPU) power, making it achievable on a portable device, namely a laptop computer. Furthermore, the system is extremely inexpensive compared with similar state-of-art systems, making it possible to be accessed by the general public. Specifically, advanced GPU techniques such as multipass rendering and offscreen rendering were used in conjunction with direct memory access to achieve the aforementioned performance. The developed system, implementation details, and experimental results to verify the performance of the proposed technique are presented.

Citation Download Citation

Nikolaus L. Karpinsky, Morgan Hoke, Vincent Chen, and Song Zhang "High-resolution, real-time three-dimensional shape measurement on graphics processing unit," Optical Engineering 53(2), 024105 (18 February 2014). https://doi.org/10.1117/1.OE.53.2.024105

Published: 18 February 2014

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