中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Binocular Vision Object Positioning Method for Robots Based on Coarse-fine Stereo Matching

文献类型:期刊论文

作者Wei-Ping Ma; Wen-Xin Li; Peng-Xia Cao
刊名International Journal of Automation and Computing
出版日期2020
卷号17期号:4页码:562-571
关键词Object positioning stereo matching random fern normalized cross correlation binocular vision model.
ISSN号1476-8186
DOI10.1007/s11633-020-1226-3
英文摘要In order to improve the low positioning accuracy and execution efficiency of the robot binocular vision, a binocular vision positioning method based on coarse-fine stereo matching is proposed to achieve object positioning. The random fern is used in the coarse matching to identify objects in the left and right images, and the pixel coordinates of the object center points in the two images are calculated to complete the center matching. In the fine matching, the right center point is viewed as an estimated value to set the search range of the right image, in which the region matching is implemented to find the best matched point of the left center point. Then, the similar triangle principle of the binocular vision model is used to calculate the 3D coordinates of the center point, achieving fast and accurate object positioning. Finally, the proposed method is applied to the object scene images and the robotic arm grasping platform. The experimental results show that the average absolute positioning error and average relative positioning error of the proposed method are 8.22 mm and 1.96% respectively when the object′s depth distance is within 600 mm, the time consumption is less than 1.029 s. The method can meet the needs of the robot grasping system, and has better accuracy and robustness.
源URL[http://ir.ia.ac.cn/handle/173211/42279]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Lanzhou Institute of Physics, China Academy of Space Technology, Lanzhou 730000, China
推荐引用方式
GB/T 7714
Wei-Ping Ma,Wen-Xin Li,Peng-Xia Cao. Binocular Vision Object Positioning Method for Robots Based on Coarse-fine Stereo Matching[J]. International Journal of Automation and Computing,2020,17(4):562-571.
APA Wei-Ping Ma,Wen-Xin Li,&Peng-Xia Cao.(2020).Binocular Vision Object Positioning Method for Robots Based on Coarse-fine Stereo Matching.International Journal of Automation and Computing,17(4),562-571.
MLA Wei-Ping Ma,et al."Binocular Vision Object Positioning Method for Robots Based on Coarse-fine Stereo Matching".International Journal of Automation and Computing 17.4(2020):562-571.

入库方式: OAI收割

来源:自动化研究所

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