Detail Preserved Surface Reconstruction from Point Cloud
文献类型:期刊论文
作者 | Zhou, Yang1,2![]() ![]() ![]() |
刊名 | SENSORS
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出版日期 | 2019-03-02 |
卷号 | 19期号:6页码:21 |
关键词 | computer vision 3D reconstruction point cloud |
ISSN号 | 1424-8220 |
DOI | 10.3390/s19061278 |
通讯作者 | Shen, Shuhan(shshen@nlpr.ia.ac.cn) |
英文摘要 | In this paper, we put forward a new method for surface reconstruction from image-based point clouds. In particular, we introduce a new visibility model for each line of sight to preserve scene details without decreasing the noise filtering ability. To make the proposed method suitable for point clouds with heavy noise, we introduce a new likelihood energy term to the total energy of the binary labeling problem of Delaunay tetrahedra, and we give its s-t graph implementation. Besides, we further improve the performance of the proposed method with the dense visibility technique, which helps to keep the object edge sharp. The experimental result shows that the proposed method rivalled the state-of-the-art methods in terms of accuracy and completeness, and performed better with reference to detail preservation. |
WOS关键词 | MULTIVIEW STEREO RECONSTRUCTION ; SILHOUETTE ; FUSION ; SHAPE |
资助项目 | National Natural Science Foundation of China[61632003] ; National Natural Science Foundation of China[61873265] ; National Natural Science Foundation of China[61573351] |
WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
语种 | 英语 |
WOS记录号 | WOS:000465520200016 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.ia.ac.cn/handle/173211/23567] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
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 |
推荐引用方式 GB/T 7714 | Zhou, Yang,Shen, Shuhan,Hu, Zhanyi. Detail Preserved Surface Reconstruction from Point Cloud[J]. SENSORS,2019,19(6):21. |
APA | Zhou, Yang,Shen, Shuhan,&Hu, Zhanyi.(2019).Detail Preserved Surface Reconstruction from Point Cloud.SENSORS,19(6),21. |
MLA | Zhou, Yang,et al."Detail Preserved Surface Reconstruction from Point Cloud".SENSORS 19.6(2019):21. |
入库方式: OAI收割
来源:自动化研究所
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