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In this paper, a one-shot pattern is designed as an M-array with eight embedded geometric shapes, in which each 2\u2009\u00d7\u20092 subwindow appears only once. A robust pattern decoding method for reconstructing objects from a one-shot pattern is then proposed. The decoding approach relies on the robust pattern element tracking algorithm (PETA) and generic features of pattern elements to segment and cluster the projected structured light pattern from a single captured image. A deep convolution neural network (DCNN) and chain sequence features are used to accurately classify pattern elements and key points (KPs), respectively. Meanwhile, a training dataset is established, which contains many pattern elements with various blur levels and distortions. Experimental results show that the proposed approach can be used to reconstruct 3D objects.<\/jats:p>","DOI":"10.1155\/2021\/6676704","type":"journal-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T21:09:24Z","timestamp":1622754564000},"page":"1-16","source":"Crossref","is-referenced-by-count":3,"title":["One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1420-9943","authenticated-orcid":true,"given":"Xiaojun","family":"Jia","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6406-6330","authenticated-orcid":true,"given":"Zihao","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2018.02.017"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.03.004"},{"key":"3","doi-asserted-by":"crossref","first-page":"77183","DOI":"10.1109\/ACCESS.2019.2922348","article-title":"Underwater image recovery using structured light","volume":"7","author":"B. 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