CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Detail Preserved Surface Reconstruction from Point Cloud
Zhou, Yang1,2; Shen, Shuhan1,2; Hu, Zhanyi1,2
Source PublicationSENSORS
ISSN1424-8220
2019-03-02
Volume19Issue:6Pages:21
Corresponding AuthorShen, Shuhan(shshen@nlpr.ia.ac.cn)
AbstractIn 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.
Keywordcomputer vision 3D reconstruction point cloud
DOI10.3390/s19061278
WOS KeywordMULTIVIEW STEREO RECONSTRUCTION ; SILHOUETTE ; FUSION ; SHAPE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61632003] ; National Natural Science Foundation of China[61873265] ; National Natural Science Foundation of China[61573351]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS IDWOS:000465520200016
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23567
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorShen, Shuhan
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
sensors-19-01278 (2)(12542KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhou, Yang]'s Articles
[Shen, Shuhan]'s Articles
[Hu, Zhanyi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou, Yang]'s Articles
[Shen, Shuhan]'s Articles
[Hu, Zhanyi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou, Yang]'s Articles
[Shen, Shuhan]'s Articles
[Hu, Zhanyi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: sensors-19-01278 (2).pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.