{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T17:51:05Z","timestamp":1770918665373,"version":"3.50.1"},"reference-count":46,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T00:00:00Z","timestamp":1722124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science and Technology Research Project of Chongqing Municipal Education Commission of China","award":["KJQN202200815"],"award-info":[{"award-number":["KJQN202200815"]}]},{"name":"Science and Technology Research Project of Chongqing Municipal Education Commission of China","award":["2256019"],"award-info":[{"award-number":["2256019"]}]},{"name":"Science and Technology Research Project of Chongqing Municipal Education Commission of China","award":["21H04903"],"award-info":[{"award-number":["21H04903"]}]},{"name":"High-level Talent Research Start-up Fund of Chongqing Technology and Business University","award":["KJQN202200815"],"award-info":[{"award-number":["KJQN202200815"]}]},{"name":"High-level Talent Research Start-up Fund of Chongqing Technology and Business University","award":["2256019"],"award-info":[{"award-number":["2256019"]}]},{"name":"High-level Talent Research Start-up Fund of Chongqing Technology and Business University","award":["21H04903"],"award-info":[{"award-number":["21H04903"]}]},{"name":"JSPS KAKENHI","award":["KJQN202200815"],"award-info":[{"award-number":["KJQN202200815"]}]},{"name":"JSPS KAKENHI","award":["2256019"],"award-info":[{"award-number":["2256019"]}]},{"name":"JSPS KAKENHI","award":["21H04903"],"award-info":[{"award-number":["21H04903"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The digital documentation and analysis of cultural heritage increasingly rely on high-precision three-dimensional point cloud data, which often suffers from missing regions due to limitations in acquisition conditions, hindering subsequent analyses and applications. Point cloud completion techniques, by predicting and filling these missing regions, are vital for restoring the integrity of cultural heritage structures, enhancing restoration accuracy and efficiency. In this paper, for challenges in processing large-scale cultural heritage point clouds, particularly the slow processing speed and visualization impairments from uneven point density during completion, we propose a point cloud completion employing centroid-based voxel feature extraction, which significantly accelerates feature extraction for massive point clouds. Coupled with an efficient upsampling module, it achieves a uniform point distribution. Experimental results show that the proposed method matches SOTA performance in completion accuracy while surpassing in point density uniformity, demonstrating capability in handling larger-scale point cloud data, and accelerating the processing of voluminous point clouds. In general, the proposed method markedly enhances the efficiency and quality of large-scale point cloud completion, holding significant value for the digital preservation and restoration of cultural heritage.<\/jats:p>","DOI":"10.3390\/rs16152758","type":"journal-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T09:50:05Z","timestamp":1722246605000},"page":"2758","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Missing Region Completion Network for Large-Scale Laser-Scanned Point Clouds: Application to Transparent Visualization of Cultural Heritage"],"prefix":"10.3390","volume":"16","author":[{"given":"Weite","family":"Li","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing 400067, China"}]},{"given":"Jiao","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Kyoko","family":"Hasegawa","sequence":"additional","affiliation":[{"name":"School of Information and Telecommunication Engineering, Tokai University, Tokyo 108-8619, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9452-9965","authenticated-orcid":false,"given":"Liang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ritsumeikan University, Ibaraki 567-8570, Japan"}]},{"given":"Satoshi","family":"Tanaka","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ritsumeikan University, Ibaraki 567-8570, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.patrec.2014.03.023","article-title":"3D reconstruction methods for digital preservation of cultural heritage: A survey","volume":"50","author":"Gomes","year":"2014","journal-title":"Pattern Recognit. 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