(Peer-Reviewed) Deep learning enabled single-shot absolute phase recovery in high-speed composite fringe pattern profilometry of separated objects
Maciej Trusiak, Malgorzata Kujawinska
Institute of Micromechanics and Photonics, Warsaw University of Technology, 8 Sw. A. Boboli Street, Warsaw 02-525, Poland
Opto-Electronic Advances, 2023-12-12
Abstract
A recent article in the Opto-Electronic Advances (OEA) journal from Prof. Qian Chen and Prof. Chao Zuo’s group introduced a new and efficient 3D imaging system that captures high-speed images using deep learning-enabled fringe projection profilometry (FPP).
In this News & Views article, we explore potential avenues for future advancements, including expanding the measurement range through an extended number-theoretical approach, enhancing quality through the incorporation of horizontal fringes, and integrating data from other modalities to broaden the system's applications.
Polariton lasing in Mie-resonant perovskite nanocavity
Mikhail A. Masharin, Daria Khmelevskaia, Valeriy I. Kondratiev, Daria I. Markina, Anton D. Utyushev, Dmitriy M. Dolgintsev, Alexey D. Dmitriev, Vanik A. Shahnazaryan, Anatoly P. Pushkarev, Furkan Isik, Ivan V. Iorsh, Ivan A. Shelykh, Hilmi V. Demir, Anton K. Samusev, Sergey V. Makarov
Opto-Electronic Advances
2024-04-25
