Single-shot super-resolved fringe projection profilometry(SSSR-FPP):100,000 frames-per-second 3D imaging with deep learning

作     者：Bowen Wang Wenwu Chen Jiaming Qian Shijie Feng Qian Chen Chao Zuo Bowen Wang;Wenwu Chen;Jiaming Qian;Shijie Feng;Qian Chen;Chao Zuo

作者机构：Smart Computational Imaging Laboratory(SCILab)Nanjing University of Science and TechnologyNanjingJiangsu ProvinceChina Jiangsu Key Laboratory of Spectral Imaging & Intelligent SenseNanjing University of Science and TechnologyNanjingJiangsu ProvinceChina Jiangsu Key Laboratory of Spectral Imaging & Intelligent SenseNanjing University of Science and TechnologyNanjingJiangsu ProvinceChina 

出 版 物：《光：科学与应用（英文版）》 (Light：Science & Applications)

年 卷 期：2025年第14卷第2期

页      面：551-563页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：National Natural Science Foundation of China, NSFC, (62105151, 62075096, 62361136588, U21B2033, 62227818, 62175109) National Natural Science Foundation of China, NSFC Open Research Fund of Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, (JSGP202201, JSGP202105) Fundamental Research Funds for the Central Universities, (30919011222, 30921011208, 30920032101) Fundamental Research Funds for the Central Universities National Key Research and Development Program of China, NKRDPC, (2024YFE0101300, 2022YFA1205002, 2022YFB2804603) National Key Research and Development Program of China, NKRDPC Leading Technology of Jiangsu Basic Research Plan, (BK20192003) “333 Engineering” Research Project of Jiangsu Province, (BRA2016407) Jiangsu Provincial, (BZ2020007) 

主　　题：projection learning imaging fringe second deep with frames profilometry single-shot 

摘      要：To reveal the fundamental aspects hidden behind a variety of transient events in mechanics,physics,and biology,the highly desired ability to acquire three-dimensional(3D)images with ultrafast temporal resolution has been long *** one of the most commonly employed 3D sensing techniques,fringe projection profilometry(FPP)reconstructs the depth of a scene from stereo images taken with sequentially structured ***,the imaging speed of current FPP methods is generally capped at several kHz,which is limited by the projector-camera hardware and the number of fringe patterns required for phase retrieval and *** we report a novel learning-based ultrafast 3D imaging technique,termed single-shot super-resolved FPP(SSSR-FPP),which enables ultrafast 3D imaging at 100,000 ***-FPP uses only one pair of low signal-to-noise ratio(SNR),low-resolution,and pixelated fringe patterns as input,while the high-resolution unwrapped phase and fringe orders can be deciphered with a specific trained deep neural *** approach exploits the significant speed gain achieved by reducing the imaging window of conventional high-speed cameras,whileregeneratingthe lost spatial resolution through deep *** demonstrate the high spatio-temporal resolution of SSSR-FPP,we present 3D videography of several transient scenes,including rotating turbofan blades,exploding building blocks,and the reciprocating motion of a steam engine,etc.,which were previously challenging or even impossible to capture with conventional *** results establish SSSR-FPP as a significant step forward in the field of 3D optical sensing,offering new insights into a broad spectrum of dynamic processes across various scientific disciplines.