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Reconstruction of lines and planes of urban buildings with angle regularization

文献类型：期刊论文

作者Wang, Wei1; Gao, Wei2,3; Cui, Hainan2; Hu, Zhanyi2,3
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期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
DOI10.1016/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
WOS记录号WOS:000540373500005
出版者ELSEVIER
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
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.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, 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.

入库方式： OAI收割

来源：自动化研究所

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