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Efficient 3D correspondence grouping by two-stage filtering
Lu RR(鲁荣荣)1,2,3,4; Zhu F(朱枫)1,3,4; Wu QX(吴清潇)1,3,4; Kong YZ(孔研自)1,2,3,4
Department光电信息技术研究室
Conference Name2018 10th International Conference on Graphics and Image Processing (ICGIP 2018)
Conference DateDecember 12-14, 2018
Conference PlaceChengdu, China
Author of SourceChina Graphics Society ; China Society of Image and Graphics ; Ocean University of China ; University of Portsmouth
Source Publication2018 10th International Conference on Graphics and Image Processing (ICGIP 2018)
PublisherSPIE
Publication PlaceBellingham, USA
2018
Pages1-9
Indexed ByEI ; CPCI(ISTP)
EI Accession number20192106949195
WOS IDWOS:000485096200033
Contribution Rank1
ISSN0277-786X
ISBN978-1-5106-2828-1
Keyword3D correspondence grouping geometric constraint geometric consistency
AbstractThis paper presents an efficient 3D correspondence grouping algorithm for finding inliers from an initial set of feature matches. The novelty of our approach lies in the use of a combination of pair-wise and triple-wise geometric constraints to filter the outliers from the initial correspondence. The triple-wise geometric constraint is built by considering three pairs of corresponding points simultaneously. A global reference point generated according to the model shape can be mapped to the scene shape thereby form a derived point by the triple-wise geometric constraint. Then, all the initial correspondence can be filtered once via the global reference point and the derived point by using some simple and low-level geometric constraints. Afterwards, the remaining correspondences will be further filtered by means of the pair-wise geometric consistency algorithm. Finally, more accurate matching results can be obtained. The experimental results show the superior performance of our approach with respect to the noise, point density variation and partial overlap. Our algorithm strikes a good balance between accuracy and speed.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/24688
Collection光电信息技术研究室
Corresponding AuthorZhu F(朱枫)
Affiliation1.Shenyang Institute of Automation, CAS, 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.Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016, China
Recommended Citation
GB/T 7714
Lu RR,Zhu F,Wu QX,et al. Efficient 3D correspondence grouping by two-stage filtering[C]//China Graphics Society, China Society of Image and Graphics, Ocean University of China, University of Portsmouth. Bellingham, USA:SPIE,2018:1-9.
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