Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement

作     者：Yixuan Li Jiaming Qian Shijie Feng Qian Chen Chao Zuo Yixuan Li;Jiaming Qian;Shijie Feng;Qian Chen;Chao Zuo

作者机构：Smart Computational Imaging(SCI)LaboratoryNanjing University of Science and TechnologyNanjing 210094China Jiangsu Key Laboratory of Spectral Imaging&Intelligent SenseNanjing University of Science and TechnologyNanjing 210094China 

出 版 物：《Opto-Electronic Advances》 (光电进展（英文）)

年 卷 期：2022年第5卷第5期

页      面：33-48页

核心收录：

学科分类：0710[理学-生物学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081104[工学-模式识别与智能系统] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by National Natural Science Foundation of China(62075096,62005121,U21B2033) Leading Technology of Jiangsu Basic Research Plan(BK20192003) “333 Engineering”Research Project of Jiangsu Province(BRA2016407) Jiangsu Provincial“One belt and one road”innovation cooperation project(BZ2020007) Fundamental Research Funds for the Central Universities(30921011208,30919011222,30920032101) Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX21_0273) Open Research Fund of Jiangsu Key Laboratory of Spectral Imaging&Intelligent Sense(JSGP202105) 

主　　题：fringe projection profilometry(FPP) phase unwrapping deep learning 

摘      要：Single-shot high-speed 3D imaging is important for reconstructions of dynamic *** fringe projection profilometry(FPP),however,it is still challenging to recover accurate 3D shapes of isolated objects by a single fringe *** this paper,we demonstrate that the deep neural networks can be trained to directly recover the absolute phase from a unique fringe image that involves spatially multiplexed fringe patterns of different *** extracted phase is free from spectrum-aliasing problem which is hard to avoid for traditional spatial-multiplexing *** on both static and dynamic scenes show that the proposed approach is robust to object motion and can obtain high-quality 3D reconstructions of isolated objects within a single fringe image.