Multi Dimensional Graph Interactional Network for Progressive Point Cloud Completion
文献类型：期刊论文
| 作者 | Xiao, Haihong; Xu, Hongbin; Li YQ(李玉琼) ; Kang, Wenxiong1,2; Li YQ(李玉琼)
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| 刊名 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
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| 出版日期 | 2023 |
| 卷号 | 72页码:2501512 |
| 关键词 | Point cloud compression Shape Three dimensional displays Decoding Rendering (computer graphics) Feature extraction Deep learning 3 D point cloud deep learning differentiable rendering multidimensional graph interactional network point cloud completion |
| ISSN号 | 0018-9456 |
| DOI | 10.1109/TIM.2022.3227994 |
| 英文摘要 | Point cloud completion refers to inferring the complete and visually plausible shape from a partial input. Existing point cloud completion methods focus on recovering the global integrity of partial point clouds but lack local structural details. Furthermore, they seldom consider the shape faithfulness of completed results, that some completed points fail to fall into the ground truth position faithfully. To meet the above challenges, we present a multidimensional graph interactional network for progressive point cloud completion. Specifically, we propose a multiresolution multidimensional graph encoder (MRMD GE) to capture the information from both within dimension and cross dimension interactions for the purpose of enhancing the perception of local geometry. Inspired by the FPN, we develop a recursive point cloud pyramid decoder (RPPD) for generating multistage completed point clouds progressively, which incorporates extra feedback connections into the bottom up backbone layers. In addition, we design a depth map discriminator combined with differentiable rendering to match the distribution of generated and real point clouds, making the completed point clouds more faithful to the ground truth. Quantitative and qualitative experiments on Completion3D, Shapenet Part, and KITTI datasets demonstrate that our proposed method has compelling advantages over the state of the art methods. |
| 分类号 | 二类/Q1 |
| WOS研究方向 | Engineering, Electrical & Electronic ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000915866600046 |
| 资助机构 | Youth Innovation Promotion Associationof the Chinese Academy of Sciences [2018024] ; National Natural Science Foundation of China [61976095, 61575209] ; Experiments for Space Exploration Pro gram ; Qian Xuesen Laboratory ; China Academy of Space Technology [TKTSPY 2020 05 01] |
| 其他责任者 | Kang, WX (corresponding author), South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 511442, Peoples R China. ; Li, YQ (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China. |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/91805]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 通讯作者 | Li YQ(李玉琼) |
| 作者单位 | 1.South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 511442, Peoples R China 2.South China Univ Technol, Sch Future Technol, Guangzhou, Peoples R China 3.Pazhou Lab, Young Scholar Project Ctr, Guangzhou 510335, Peoples R China 4.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xiao, Haihong,Xu, Hongbin,Li YQ,et al. Multi Dimensional Graph Interactional Network for Progressive Point Cloud Completion[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2023,72:2501512. |
| APA | Xiao, Haihong,Xu, Hongbin,李玉琼,Kang, Wenxiong,&Li YQ.(2023).Multi Dimensional Graph Interactional Network for Progressive Point Cloud Completion.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,72,2501512. |
| MLA | Xiao, Haihong,et al."Multi Dimensional Graph Interactional Network for Progressive Point Cloud Completion".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 72(2023):2501512. |
入库方式： OAI收割
来源：力学研究所
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