Structured Light Three-Dimensional Measurement Based on Machine Learning

Chuqian Zhong; Zhan Gao; Xu Wang; Shuangyun Shao; Chenjia Gao

doi:10.3390/s19143229

journal article Open Access Jul 23, 2019

Structured Light Three-Dimensional Measurement Based on Machine Learning

Chuqian Zhong Zhan Gao

Xu Wang

Shuangyun Shao

Chenjia Gao

Sensors Vol. 19 No. 14 pp. 3229 · MDPI AG

View at Publisher Save 10.3390/s19143229

Abstract

The three-dimensional measurement of structured light is commonly used and has widespread applications in many industries. In this study, machine learning is used for structured light 3D measurement to recover the phase distribution of the measured object by employing two machine learning models. Without phase shift, the measurement operational complexity and computation time decline renders real-time measurement possible. Finally, a grating-based structured light measurement system is constructed, and machine learning is used to recover the phase. The calculated phase of distribution is wrapped in only one dimension and not in two dimensions, as in other methods. The measurement error is observed to be under 1%.

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Details

Published: Jul 23, 2019
Vol/Issue: 19(14)
Pages: 3229
License: View

Authors

C

Chuqian Zhong