Knowledge Commons of Institute of Automation,CAS
Distributed Surface Reconstruction from Point Cloud for City-Scale Scenes | |
Han, Jiali1,2; Shen, Shuhan1,2 | |
2019-08 | |
会议名称 | 2019 International Conference on 3D Vision |
会议日期 | 16-19 September 2019 |
会议地点 | Quebec City, QC, Canada |
摘要 | Image based 3D modeling is an effective way to reconstruct large-scale scenes, especially city-level scenarios. In the image based modeling pipeline, obtaining a watertight mesh model from a noisy multiple view stereo point cloud is a key step to ensure the model quality. However, stateof-the-art method relies on the global Delaunay-based optimization formed by all points and cameras, and will encounter scale problem when dealing with large scenes. To circumvent this limitation, this paper proposes a distributed surface reconstruction approach which could handle cityscale scenes with limited memory and time consumption. Firstly, the whole scene is adaptively divided into several chunks with overlapping boundaries, and 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. We test the proposed method on three city-scale scenes with billions of points and tens of thousands of images, and demonstrate its scalability and completeness compared with the state-of-the-art methods. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48681 |
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.NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, 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. Distributed Surface Reconstruction from Point Cloud for City-Scale Scenes[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
08886121.pdf(3436KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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