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Scalable point cloud meshing for imagebased large-scale 3D modeling | |
Han, Jiali1,2; Shen, Shuhan1,2 | |
发表期刊 | Visual Computing for Industry, Biomedicine, and Art |
2019-08 | |
页码 | 10 |
摘要 | Image-based 3D modeling is an effective method for reconstructing large-scale scenes, especially city-level scenarios. In the image-based modeling pipeline, obtaining a watertight mesh model from a noisy multi-view stereo point cloud is a key step toward ensuring model quality. However, some state-of-the-art methods rely on the global Delaunay-based optimization formed by all the points and cameras; thus, they encounter scaling problems when dealing with large scenes. To circumvent these limitations, this study proposes a scalable pointcloud meshing approach to aid the reconstruction of city-scale scenes with minimal time consumption and memory usage. Firstly, the entire scene is divided along the x and y axes into several overlapping chunks so that each chunk can satisfy the memory limit. Then, the Delaunay-based optimization is performed to extract meshes for each chunk in parallel. Finally, the local meshes are merged together by resolving local inconsistencies in the overlapping areas between the chunks. We test the proposed method on three city-scale scenes with hundreds of millions of points and thousands of images, and demonstrate its scalability, accuracy, and completeness, compared with the state-of-the-art methods. |
关键词 | Mesh-generation Delaunay-based optimization Large-scale scenes |
DOI | https://doi.org/10.1186/s42492-019-0020-y |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48679 |
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.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2.University of Chinese Academy of Sciences, Beijing 100049, 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 | Han, Jiali,Shen, Shuhan. Scalable point cloud meshing for imagebased large-scale 3D modeling[J]. Visual Computing for Industry, Biomedicine, and Art,2019:10. |
APA | Han, Jiali,&Shen, Shuhan.(2019).Scalable point cloud meshing for imagebased large-scale 3D modeling.Visual Computing for Industry, Biomedicine, and Art,10. |
MLA | Han, Jiali,et al."Scalable point cloud meshing for imagebased large-scale 3D modeling".Visual Computing for Industry, Biomedicine, and Art (2019):10. |
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