Efficient 3D correspondence grouping by two-stage filtering

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 光电信息技术研究室

	Efficient 3D correspondence grouping by two-stage filtering
	Wu QX(吴清潇)1,2,4 ; Kong YZ(孔研自)1,2,3,4; Lu RR(鲁荣荣)1,2,3,4 ; Zhu F(朱枫)1,2,4
	2018
会议日期	December 12-14, 2018
会议地点	Chengdu, China
关键词	3D correspondence grouping geometric constraint geometric consistency
页码	1-9
英文摘要	This 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.
源文献作者	China Graphics Society ; China Society of Image and Graphics ; Ocean University of China ; University of Portsmouth
产权排序	1
会议录	2018 10th International Conference on Graphics and Image Processing (ICGIP 2018)
会议录出版者	SPIE
会议录出版地	Bellingham, USA
语种	英语
ISSN号	0277-786X
ISBN号	978-1-5106-2828-1
WOS记录号	WOS:000485096200033
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/24688]
专题	沈阳自动化研究所_光电信息技术研究室
通讯作者	Zhu F(朱枫)
作者单位	1.Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016, China 2.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.Shenyang Institute of Automation, CAS, Shenyang 110016, China
推荐引用方式 GB/T 7714	Wu QX,Kong YZ,Lu RR,et al. Efficient 3D correspondence grouping by two-stage filtering[C]. 见:. Chengdu, China. December 12-14, 2018.