SIA OpenIR  > 光电信息技术研究室
Search inliers based on redundant geometric constraints
Lu RR(鲁荣荣)1,2,3,4; Zhu F(朱枫)1,3,4; Wu QX(吴清潇)1,3,4; Fu XY(付兴银)1,2,3,4
Department光电信息技术研究室
Source PublicationVisual Computer
ISSN0178-2789
2018
Pages1-14
Indexed ByEI
EI Accession number20184506033543
Contribution Rank1
Funding OrganizationNSFC (U1713216) ; Autonomous subject of the State Key Laboratory of Robotics (2017-Z21)
KeywordCorrespondence grouping Geometric constraints Correspondence voting 3D object recognition
AbstractThis paper presents an efficient correspondence grouping algorithm to search inliers from an initial set of feature matches. The novelty lies in the proposal of a scoring technique for measuring the reliability of a triple combination (three pairs of matches) based on redundant geometric constraints. According to the proposed scoring method, several top-ranking triple combinations are selected for estimating the transformation hypotheses between two 3D shapes. For each transformation hypothesis, a correspondence from a selected correspondence set should cast a vote whether it is satisfying the geometric constraint with it. Finally, the transformation hypothesis with the most votes is considered as the best transformation and the correspondences from the initial correspondence set agreeing with the best transformation are grouped as inliers. We performed both comparative experiments and real application experiments to evaluate the performance of our proposed method on five popular datasets. The experimental results show the superior performance of our method with respect to different levels of noise, point density variation, partial overlap, clutter and occlusion. In addition, our proposed method can boost the performance of a feature-based 3D object recognition algorithm, giving an increase in both high recognition rate and computational efficiency.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/23551
Collection光电信息技术研究室
Corresponding AuthorLu RR(鲁荣荣); Zhu F(朱枫)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China
4.The Key Lab of Image Understanding and Computer Vision, Shenyang
5.Liaoning Province 110016, China
Recommended Citation
GB/T 7714
Lu RR,Zhu F,Wu QX,et al. Search inliers based on redundant geometric constraints[J]. Visual Computer,2018:1-14.
APA Lu RR,Zhu F,Wu QX,&Fu XY.(2018).Search inliers based on redundant geometric constraints.Visual Computer,1-14.
MLA Lu RR,et al."Search inliers based on redundant geometric constraints".Visual Computer (2018):1-14.
Files in This Item: Download All
File Name/Size DocType Version Access License
Search inliers based(2545KB)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
[Lu RR(鲁荣荣)]'s Articles
[Zhu F(朱枫)]'s Articles
[Wu QX(吴清潇)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lu RR(鲁荣荣)]'s Articles
[Zhu F(朱枫)]'s Articles
[Wu QX(吴清潇)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lu RR(鲁荣荣)]'s Articles
[Zhu F(朱枫)]'s Articles
[Wu QX(吴清潇)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Search inliers based on redundant geometric constraints.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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