Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera

Wenwu Chen; Shijie Feng; Chao Zuo

doi:10.1117/12.3016412

18 June 2024 Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera

Wenwu Chen, Shijie Feng, Chao Zuo

Author Affiliations +

Proceedings Volume 12997, Optics and Photonics for Advanced Dimensional Metrology III; 1299710 (2024) https://doi.org/10.1117/12.3016412
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

Deep learning-enabled multiplexed fringe projection profilometry allows to achieve high-resolution and highspeed 3D imaging at near-one-order of magnitude-higher 3D frame rate with conventional low-speed cameras. Then the method is demonstrated by measuring 2 transient scenes: rotating fan blades and bullet fired from a toy gun, at kHz using cameras of around 100 Hz.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenwu Chen, Shijie Feng, and Chao Zuo "Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera", Proc. SPIE 12997, Optics and Photonics for Advanced Dimensional Metrology III, 1299710 (18 June 2024); https://doi.org/10.1117/12.3016412

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