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It focuses on the transition between those acquired meshes by approximating all the consecutive pairs into approximate mesh pairs that have a common topology. The quality of these common approximate mesh pairs is quantitatively measured by an Energy term, which is minimized during the optimization process. Later, the meshes with the common topology are interpolated (morphing) to build the final digital twin of the plant. Experimental results show that the proposed methodology to attain the final morph has the potential to be a vital module, which could be responsible for the visual updates in the digital replica of the digital twin of the plant.<\/jats:p>","DOI":"10.1145\/3774885","type":"journal-article","created":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T14:43:16Z","timestamp":1763044996000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Step Closer Towards the Digital Twin of the Plant"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0484-119X","authenticated-orcid":false,"given":"Karanvir","family":"Singh","sequence":"first","affiliation":[{"name":"Computer Science, Indian Institute of Technology Ropar, Rupnagar, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7690-8547","authenticated-orcid":false,"given":"Abdulmotaleb El","family":"Saddik","sequence":"additional","affiliation":[{"name":"EECS, University of Ottawa, Ottawa, Ontario, Canada and HUMAIN, Riyadh, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2215-9365","authenticated-orcid":false,"given":"Mukesh","family":"Saini","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, India"}]}],"member":"320","published-online":{"date-parts":[[2026,1,12]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073615"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818099"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2982412"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00575"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13503"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3209661"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106380"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.121791"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-044451378-6\/50033-8"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778775"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3672564"},{"issue":"3","key":"e_1_3_2_13_2","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.21037\/qims-22-1108","article-title":"Automated anatomical landmark detection on 3D facial images using U-NET-based deep learning algorithm","volume":"14","author":"Chong Yuming","year":"2024","unstructured":"Yuming Chong, Fengzhou Du, Xuda Ma, Yicheng An, Qi Huang, Xiao Long, Jiuzuo Huang, Zhijin Li, Nanze Yu, and Xiaojun Wang. 2024. 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