CASIA OpenIR
Reconstruction of lines and planes of urban buildings with angle regularization
Wang, Wei1; Gao, Wei2,3; Cui, Hainan2; Hu, Zhanyi2,3
Source PublicationISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
2020-07-01
Volume165Pages:54-66
Corresponding AuthorGao, Wei(wgao@nlpr.ia.ac.cn)
AbstractThree-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.
KeywordLine segment matching Multi-model fitting 3D reconstruction Convolutional neural network
DOI10.1016/j.isprsjprs.2020.04.013
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; National Key R&D Program of China ; Key Scientific and Technological Project of Henan Province
WOS Research AreaPhysical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000540373500005
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/39787
Collection中国科学院自动化研究所
Corresponding AuthorGao, Wei
Affiliation1.Zhoukou Normal Univ, Sch Network Engn, Zhoukou 466000, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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