High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review

doi:10.1007/s41095-021-0250-8

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 机器人视觉团队

	High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
	Li, Jianwei 1; Gao, Wei 2,3; Wu, Yihong 2,3; Liu, Yangdong 4; Shen, Yanfei 1
刊名	COMPUTATIONAL VISUAL MEDIA
	2022-03-06
页码	25
关键词	3D reconstruction image processing camera pose estimation surface fusion
ISSN号	2096-0433
DOI	10.1007/s41095-021-0250-8
通讯作者	Shen, Yanfei(syf@bsu.edu.cn)
英文摘要	High-quality 3D reconstruction is an important topic in computer graphics and computer vision with many applications, such as robotics and augmented reality. The advent of consumer RGB-D cameras has made a profound advance in indoor scene reconstruction. For the past few years, researchers have spent significant effort to develop algorithms to capture 3D models with RGB-D cameras. As depth images produced by consumer RGB-D cameras are noisy and incomplete when surfaces are shiny, bright, transparent, or far from the camera, obtaining high-quality 3D scene models is still a challenge for existing systems. We here review high-quality 3D indoor scene reconstruction methods using consumer RGB-D cameras. In this paper, we make comparisons and analyses from the following aspects: (i) depth processing methods in 3D reconstruction are reviewed in terms of enhancement and completion, (ii) ICP-based, feature-based, and hybrid methods of camera pose estimation methods are reviewed, and (iii) surface reconstruction methods are reviewed in terms of surface fusion, optimization, and completion. The performance of state-of-the-art methods is also compared and analyzed. This survey will be useful for researchers who want to follow best practices in designing new high-quality 3D reconstruction methods.
资助项目	National Key R&D Program of China[2018YFC2000600] ; Open Projects Program of National Laboratory of Pattern Recognition[202100009] ; National Natural Science Foundation of China[72071018] ; Fundamental Research Funds for Central Universities[2021TD006]
WOS关键词	SHAPE ; REGISTRATION ; INTEGRATION ; COMPLETION ; FRAGMENTS ; IMAGE
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGERNATURE
WOS记录号	WOS:000765189700001
资助机构	National Key R&D Program of China ; Open Projects Program of National Laboratory of Pattern Recognition ; National Natural Science Foundation of China ; Fundamental Research Funds for Central Universities
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/47981]
专题	自动化研究所_模式识别国家重点实验室_机器人视觉团队
通讯作者	Shen, Yanfei
作者单位	1.Beijing Sports Univ, Sch Sports Engn, Beijing 100084, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Huawei Technol Co Ltd, Beijing 100085, Peoples R China
推荐引用方式 GB/T 7714	Li, Jianwei,Gao, Wei,Wu, Yihong,et al. High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review[J]. COMPUTATIONAL VISUAL MEDIA,2022:25.
APA	Li, Jianwei,Gao, Wei,Wu, Yihong,Liu, Yangdong,&Shen, Yanfei.(2022).High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review.COMPUTATIONAL VISUAL MEDIA,25.
MLA	Li, Jianwei,et al."High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review".COMPUTATIONAL VISUAL MEDIA (2022):25.