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

文献类型：期刊论文

作者Li, Jianwei4; Gao, Wei2,3; Wu, Yihong2,3; Liu, Yangdong1; Shen, Yanfei4
刊名COMPUTATIONAL VISUAL MEDIA
出版日期2022-03-06
页码25
关键词3D reconstruction image processing camera pose estimation surface fusion
ISSN号2096-0433
DOI10.1007/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.
WOS关键词SHAPE ; REGISTRATION ; INTEGRATION ; COMPLETION ; FRAGMENTS ; IMAGE
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研究方向Computer Science
语种英语
WOS记录号WOS:000765189700001
出版者SPRINGERNATURE
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
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.Huawei Technol Co Ltd, Beijing 100085, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
4.Beijing Sports Univ, Sch Sports Engn, Beijing 100084, 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.

入库方式： OAI收割

来源：自动化研究所

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