Knowledge Commons of Institute of Automation,CAS
Reconstruction of lines and planes of urban buildings with angle regularization | |
Wang, Wei1; Gao, Wei2,3; Cui, Hainan2; Hu, Zhanyi2,3 | |
发表期刊 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING |
ISSN | 0924-2716 |
2020-07-01 | |
卷号 | 165页码:54-66 |
通讯作者 | Gao, Wei(wgao@nlpr.ia.ac.cn) |
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. |
关键词 | Line segment matching Multi-model fitting 3D reconstruction Convolutional neural network |
DOI | 10.1016/j.isprsjprs.2020.04.013 |
收录类别 | SCI |
语种 | 英语 |
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] |
项目资助者 | National Natural Science Foundation of China ; National Key R&D Program of China ; Key Scientific and Technological Project of Henan Province |
WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000540373500005 |
出版者 | ELSEVIER |
七大方向——子方向分类 | 三维视觉 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39828 |
专题 | 多模态人工智能系统全国重点实验室_机器人视觉 |
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 |
通讯作者单位 | 模式识别国家重点实验室 |
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. |
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