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Urban Scene Vectorized Modeling Based on Contour Deformation | |
Zhu, Lingjie1,2![]() ![]() ![]() | |
发表期刊 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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2020-03-01 | |
卷号 | 9期号:3页码:13 |
通讯作者 | Shen, Shuhan(shshen@nlpr.ia.ac.cn) |
摘要 | Modeling urban scenes automatically is an important problem for both GIS and nonGIS specialists with applications like urban planning, autonomous driving, and virtual reality. In this paper, we present a novel contour deformation approach to generate regularized and vectorized 3D building models from the orthophoto and digital surface model (DSM).The proposed method has four major stages: dominant directions extraction, find target align direction, contour deformation, and model generation. To begin with, we extract dominant directions for each building contour in the orthophoto. Then every edge of the contour is assigned with one of the dominant directions via a Markov random field (MRF). Taking the assigned direction as target, we define a deformation energy with the Advanced Most-Isometric ParameterizationS (AMIPS) to align the contour to the dominant directions. Finally, the aligned contour is simplified and extruded to 3D models. Through the alignment deformation, we are able to straighten the contour while keeping the sharp turning corners. Our contour deformation based urban modeling approach is accurate and robust comparing with the state-of-the-arts as shown in experiments on the public dataset. |
关键词 | urban modeling vectorization deformation based modeling local injective mappings |
DOI | 10.3390/ijgi9030162 |
关键词[WOS] | ENERGY MINIMIZATION |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Natural Science Foundation of China[61991423] ; Natural Science Foundation of China[61873265] ; Natural Science Foundation of China[61421004] |
项目资助者 | Natural Science Foundation of China |
WOS研究方向 | Physical Geography ; Remote Sensing |
WOS类目 | Geography, Physical ; Remote Sensing |
WOS记录号 | WOS:000523512400041 |
出版者 | MDPI |
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/173211/38819 |
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 | Shen, Shuhan |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
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 | Zhu, Lingjie,Shen, Shuhan,Gao, Xiang,et al. Urban Scene Vectorized Modeling Based on Contour Deformation[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(3):13. |
APA | Zhu, Lingjie,Shen, Shuhan,Gao, Xiang,&Hu, Zhanyi.(2020).Urban Scene Vectorized Modeling Based on Contour Deformation.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(3),13. |
MLA | Zhu, Lingjie,et al."Urban Scene Vectorized Modeling Based on Contour Deformation".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.3(2020):13. |
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