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The approach of point cloud semantic segmentation as a preliminary stage can help to realize this advancement. With the demand for semantic comprehensibility of point cloud data and the widespread application of machine learning and deep learning approaches in point cloud semantic segmentation, there is a need for a comprehensive literature review covering the topics from the point cloud data acquisition to semantic segmentation algorithms with application strategies in cultural heritage. This paper first reviews the current trends of acquiring point cloud data of cultural heritage from a single platform with multiple sensors and multi-platform collaborative data fusion. Then, the point cloud semantic segmentation algorithms are discussed with their advantages, disadvantages, and specific applications in the cultural heritage field. These algorithms include region growing, model fitting, unsupervised clustering, supervised machine learning, and deep learning. In addition, we summarized the public benchmark point cloud datasets related to cultural heritage. Finally, the problems and constructive development trends of 3D point cloud semantic segmentation in the cultural heritage field are presented.<\/jats:p>","DOI":"10.3390\/rs15030548","type":"journal-article","created":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T05:36:55Z","timestamp":1673933815000},"page":"548","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":139,"title":["Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2298-3960","authenticated-orcid":false,"given":"Su","family":"Yang","sequence":"first","affiliation":[{"name":"College of Geosciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0942-629X","authenticated-orcid":false,"given":"Miaole","family":"Hou","sequence":"additional","affiliation":[{"name":"School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8244-5681","authenticated-orcid":false,"given":"Songnian","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.culher.2020.01.006","article-title":"Implementation of ultra-light UAV systems for cultural heritage documentation","volume":"44","author":"Bakirman","year":"2020","journal-title":"J. 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