Efficient 3D correspondence grouping by two-stage filtering
文献类型：会议论文
| 作者 | 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
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| 出版日期 | 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)
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| 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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