Reconstruction of lines and planes of urban buildings with angle regularization

doi:10.1016/j.isprsjprs.2020.04.013

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

	Reconstruction of lines and planes of urban buildings with angle regularization
	Wang, Wei 1; Gao, Wei 2,3; Cui, Hainan 3; Hu, Zhanyi 2,3
刊名	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
	2020-07-01
卷号	165 页码:54-66
关键词	Line segment matching Multi-model fitting 3D reconstruction Convolutional neural network
ISSN号	0924-2716
DOI	10.1016/j.isprsjprs.2020.04.013
通讯作者	Gao, Wei(wgao@nlpr.ia.ac.cn)
英文摘要	Three-dimensional reconstruction of line and plane structures from two images is a major task in urban building modeling. However, traditional line segment (LS) matching methods frequently produce inaccurate few LS matches, and further lead to unreliable sparse 3D line-plane reconstruction. To address these issues, this paper presents an effective line-plane reconstruction method based on angle regularization. The proposed method first performs LS matching by learning the angles between planes using convolutional neural networks (CNNs). Angle regularization is used to correct unreliable LS matches and infer progressively potential 3D LSs for unmatched ones. Then, the resulting 3D LSs and planes are globally regularized by incorporating geometric constraints, image features, and plane and angle regularity terms under a unified optimization framework. Experiments on several standard datasets demonstrate that our method has clear advantages over the state-of-the-art methods.
资助项目	National Natural Science Foundation of China[61991423] ; National Natural Science Foundation of China[61872361] ; National Natural Science Foundation of China[61421004] ; National Natural Science Foundation of China[61703397] ; National Natural Science Foundation of China[U1805264] ; National Key R&D Program of China[2016YFB0502002] ; Key Scientific and Technological Project of Henan Province[202102310235]
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000540373500005
资助机构	National Natural Science Foundation of China ; National Key R&D Program of China ; Key Scientific and Technological Project of Henan Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/39827]
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	Gao, Wei
作者单位	1.Zhoukou Normal Univ, Sch Network Engn, Zhoukou 466000, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Wei,Gao, Wei,Cui, Hainan,et al. Reconstruction of lines and planes of urban buildings with angle regularization[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2020,165:54-66.
APA	Wang, Wei,Gao, Wei,Cui, Hainan,&Hu, Zhanyi.(2020).Reconstruction of lines and planes of urban buildings with angle regularization.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,165,54-66.
MLA	Wang, Wei,et al."Reconstruction of lines and planes of urban buildings with angle regularization".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 165(2020):54-66.