建筑行业视觉计算文献计量学综述。

4区 计算机科学 Q1 Arts and Humanities Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-06-08 DOI:10.1186/s42492-020-00050-0
Heng-Wei Wang, Zhen-Zhong Hu, Jia-Rui Lin
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引用次数: 1

摘要

在建筑领域,绘图、照片、视频和3D模型等视觉效果在设施的设计、建造和维护中发挥着重要作用,为信息的生成、传递和存储带来了效率。先进的视觉计算技术有助于理解设计内容、工作计划和建筑行业共享的其他类型的信息。可视化数据的自动收集和分析为建筑行业提供了许多可能性,大量的工作已经研究了可视化计算如何改善建筑领域的施工管理流程和其他问题。然而,需要全面的文献综述。本研究采用文献计量学方法,回顾了迄今为止发表的著作,并分析了知识的发展、重要的研究成果和趋势。本研究的目的是帮助新进入该研究领域的人了解知识结构,制定研究方向,从而促进知识的发展。从这项研究中可以得出结论,计算机视觉是改进的关键轴。此外,建筑信息建模、激光扫描和其他可视化相关技术在推进建筑领域也很重要。
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Bibliometric review of visual computing in the construction industry.

In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and store information. Advanced visual computing techniques facilitate the understanding of design contents, work plans, and other types of information shared in the construction industry. Automatic visual data collection and analysis provide many possibilities to the construction industry and a large number of works have investigated how visual computing can improve construction management processes and other problems in the construction area. However, a comprehensive literature review is needed. This study uses bibliometric approaches to review the works published to date, and analyses the development of knowledge, significant research results, and trends. The purpose of this study is to help newcomers to this research field understand knowledge structure and formulate research directions, thereby enhancing knowledge development. From this study, it can be concluded that computer vision is a key axis of improvement. Moreover, building information modeling, laser scanning, and other visualization-related techniques are also important in advancing the construction area.

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来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
期刊最新文献
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