中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detail Preserved Surface Reconstruction from Point Cloud

文献类型:期刊论文

作者Zhou, Yang1,2; Shen, Shuhan1,2; Hu, Zhanyi1,2
刊名SENSORS
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
DOI10.3390/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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