3D Point Cloud for Cultural Heritage: A Scientometric Survey

Abstract

Three-dimensional point cloud has been widely used in the cultural heritage field in the last two decades, gaining attention from both academic and industry communities. A large number of scientific papers have been published concerning this topic, which covers a wide range of journals, countries, and disciplines. There has been no comprehensive and systematic survey of recent literature performed in a scientometric way based on the complex network analysis methods. In this work, we extracted the terms (i.e., noun phrases included in the title, abstract and keywords), the documents, the countries that the research institutions are located in, and the categories that the literature belongs to from the Web of Science database to compose a term co-occurrence network, document co-citation network, collaborative country network and category co-occurrence network using CiteSpace software. Through visualizing and analyzing those networks, we identified the research hotspots, landmark literature, national collaboration, interdisciplinary patterns as well as the emerging trends through assessing the central nodes and the nodes with strong citation bursts. This work not only provides a structured view on state-of-art literature, but also reveals the future trends of employing 3D point cloud data for cultural heritage, aiding researchers carry out further research in this area.

Visualization Analysis of Smart Classroom Research Based on CiteSpace

“…The co-occurrence analysis of CiteSpace can be performed across three dimensions: keywords, term, and categories. "Keywords" refer to the author-assigned keywords of the articles, "terms" are the noun phrases extracted from the keywords, abstracts, and titles of the literature [33], while "category" pertains to the Web of Science categories. Co-occurrence analysis is instrumental for identifying research topics and major research categories within a specific field of study.…”

Fast adaptive multimodal feature registration (FAMFR): an effective high-resolution point clouds registration workflow for cultural heritage interiors

“…3D point clouds have become an essential data source for digitisation in the CH field. They are widely used for tasks such as Historical Building Modelling (HBIM), Structural Health Monitoring (SHM), damage detection, documentation, and virtual restoration [27]. Point clouds can accurately represent the geometry and colour of the object's surface, making them a valuable tool for documenting and preserving CH objects.…”

Proposal of an integrated 3D architectural survey method for application in historic agri-food building analysis and representation

“…For this purpose, in the last two decades there has been a wide use of 3D point-clouds obtained from various sources. The ever-increasing application of this approach to historic buildings is documented by a recent scientometric survey carried out by Yang et al (2022) considering all the scientific articles in English present in the web of science database and concerning 3D point-cloud used in the cultural heritage field. It observed that since 2006 -the first year when the type of articles under consideration were detected (only 2) -the number of articles published per year shows an increasing trend, particularly remarkable in the period between 20166 (16 articles published in that year) and 2021 (68 articles) for which a total of 256 articles were found.…”

“…HS can also help survey the machinery present on the scene. A further limitation of the traditional agri-food buildings survey with TLS is the difficulty in obtaining an accurate survey of the roof, highest faced parts and other inaccessible areas of the detected building (Yang et al, 2022). To address this issue, integrated surveying solutions based on TLS and unmanned aerial vehicles (UAVs) are largely proposed in the literature (Achille et al, 2015;Chatzistamatis et al, 2018;Cheng et al, 2013;Chiabrando et al, 2016;Rocha et al, 2020;Ursini et al, 2022;Xu et al, 2014).…”