Color deep learning profilometry for single-shot 3D shape measurement

Jiaming Qian; Shijie Feng; Yixuan Li; Tianyang Tao; Qian Chen; Chao Zuo

doi:10.1117/12.2585697

15 January 2021 Color deep learning profilometry for single-shot 3D shape measurement

Jiaming Qian, Shijie Feng, Yixuan Li, Tianyang Tao, Qian Chen, Chao Zuo

Proceedings Volume 11761, Fourth International Conference on Photonics and Optical Engineering; 1176106 (2021) https://doi.org/10.1117/12.2585697
Event: Fourth International Conference on Photonics and Optical Engineering, 2020, Xi'an, China

Abstract

Fringe projection profilometry (FPP) has been more widely applied in fields such as intelligent manufacturing and medical plastic surgery. Recovering the three-dimensional (3D) surface of an object from a single frame image has always been the pursued goal in FPP. The color fringe projection method is one of the most potential technologies to realize single-shot 3D imaging because of the multi-channel multiplexing. Inspired by the recent success of deep learning technologies for phase analysis, we propose a novel single-shot 3D shape measurement approach named color deep learning profilometry (CDLP). Through `learning' on extensive data sets, the properly trained neural network can gradually `predict' the crosstalk-free high-quality absolute phase corresponding to the depth information of the object directly from a color fringe image. Experimental results demonstrate that our method can obtain accurate phase information acquisition and robust phase unwrapping without any complex pre/post-processing.

Citation Download Citation

Jiaming Qian, Shijie Feng, Yixuan Li, Tianyang Tao, Qian Chen, and Chao Zuo "Color deep learning profilometry for single-shot 3D shape measurement", Proc. SPIE 11761, Fourth International Conference on Photonics and Optical Engineering, 1176106 (15 January 2021); https://doi.org/10.1117/12.2585697

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available