A review of computer graphics approaches to urban modeling from a machine learning perspective

doi:10.1631/FITEE.2000141

	A review of computer graphics approaches to urban modeling from a machine learning perspective
	Feng, Tian 1; Fan, Feiyi 2; Bednarz, Tomasz 3,4
	2021-05-22
发表期刊	FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
ISSN	2095-9184
页码	11
摘要	Urban modeling facilitates the generation of virtual environments for various scenarios about cities. It requires expertise and consideration, and therefore consumes massive time and computation resources. Nevertheless, related tasks sometimes result in dissatisfaction or even failure. These challenges have received significant attention from researchers in the area of computer graphics. Meanwhile, the burgeoning development of artificial intelligence motivates people to exploit machine learning, and hence improves the conventional solutions. In this paper, we present a review of approaches to urban modeling in computer graphics using machine learning in the literature published between 2010 and 2019. This serves as an overview of the current state of research on urban modeling from a machine learning perspective.
关键词	Urban modeling Computer graphics Machine learning Deep learning TP399
DOI	10.1631/FITEE.2000141
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号	WOS:000652901900001
出版者	ZHEJIANG UNIV
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/17539
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Feng, Tian
作者单位	1.La Trobe Univ, Dept Comp Sci & Informat Technol, Bundoora, Vic 3086, Australia 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ New South Wales, Expanded Percept & Interact Ctr, Sydney, NSW 2021, Australia 4.CSIROs Data61, Sydney, NSW 2015, Australia
推荐引用方式 GB/T 7714	Feng, Tian,Fan, Feiyi,Bednarz, Tomasz. A review of computer graphics approaches to urban modeling from a machine learning perspective[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2021:11.
APA	Feng, Tian,Fan, Feiyi,&Bednarz, Tomasz.(2021).A review of computer graphics approaches to urban modeling from a machine learning perspective.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,11.
MLA	Feng, Tian,et al."A review of computer graphics approaches to urban modeling from a machine learning perspective".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2021):11.