{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:14:39Z","timestamp":1760364879503,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T00:00:00Z","timestamp":1579219200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61675117"],"award-info":[{"award-number":["61675117"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Opening Foundation of the State Key Laboratory of Functional Materials for Informatics and in part by the Shanghai Institute of Microsystem and Information Technology (CAS)","award":["none"],"award-info":[{"award-number":["none"]}]},{"name":"National Defense Science and Technology Innovation Special Zone Foundation of China","award":["none"],"award-info":[{"award-number":["none"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, a real-time, dynamic three-dimensional (3D) shape reconstruction scheme based on the Fourier-transform profilometry (FTP) method is achieved with a short-wave infrared (SWIR) indium gallium arsenide (InGaAs) camera for monitoring applications in low illumination environments. A SWIR 3D shape reconstruction system is built for generating and acquiring the SWIR two-dimensional (2D) fringe pattern of the target. The depth information of the target is reconstructed by employing an improved FTP method, which has the advantages of high reconstruction accuracy and speed. The maximum error in depth for static 3D shape reconstruction is 1.15 mm for a plastic model with a maximum depth of 36 mm. Meanwhile, a real-time 3D shape reconstruction with a frame rate of 25 Hz can be realized by this system, which has great application prospects in real-time dynamic 3D shape reconstruction, such as low illumination monitoring. In addition, for real-time dynamic 3D shape reconstruction, without considering the edge areas, the maximum error in depth among all frames is 1.42 mm for a hemisphere with a depth of 35 mm, and the maximum error of the average of all frames in depth is 0.52 mm.<\/jats:p>","DOI":"10.3390\/s20020521","type":"journal-article","created":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T07:39:02Z","timestamp":1579246742000},"page":"521","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Real-Time Dynamic 3D Shape Reconstruction with SWIR InGaAs Camera"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1696-4942","authenticated-orcid":false,"given":"Cheng","family":"Fei","sequence":"first","affiliation":[{"name":"Center for Optics Research and Engineering, Shandong University, Qingdao 266237, China"},{"name":"School of Information Science and Engineering, Shandong University, Qingdao 266237, China"}]},{"given":"Yanyang","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong University, Qingdao 266237, China"}]},{"given":"Shan","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong University, Qingdao 266237, China"}]},{"given":"Junliang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong University, Qingdao 266237, China"}]},{"given":"Baoqing","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong University, Qingdao 266237, China"}]},{"given":"Yongfu","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Optics Research and Engineering, Shandong University, Qingdao 266237, China"}]},{"given":"Yi","family":"Gu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Infrared Imaging Materials and Devices, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China"}]},{"given":"Xian","family":"Zhao","sequence":"additional","affiliation":[{"name":"Center for Optics Research and Engineering, Shandong University, Qingdao 266237, China"}]},{"given":"Jiaxiong","family":"Fang","sequence":"additional","affiliation":[{"name":"Center for Optics Research and Engineering, Shandong University, Qingdao 266237, China"},{"name":"Key Laboratory of Infrared Imaging Materials and Devices, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1209002","DOI":"10.3788\/CJL201542.1209002","article-title":"Spectral analysis and filtering of moir\u00e9 fringes generated by using digital image processing","volume":"42","author":"Zhu","year":"2015","journal-title":"Chin. 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