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Deep learning enabled single-shot absolute phase recovery in high-speed composite fringe pattern profilometry of separated objects

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摘要 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.
出处 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2023年第12期1-4,共4页 光电进展(英文)
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