SIA OpenIR  > 光电信息技术研究室
Alternative TitleEfficient planar object recognition and localization system based on boundary point pair feature
赵银帅1,2,3,4; 吴清潇1,3,4; 付双飞1,3,4; 张正光1,3,4
Source Publication计算机应用研究
Contribution Rank1
Funding Organization国家自然科学基金—深圳机器人基础研究中心项目(U1713216)
Keyword三维边缘提取 点对特征 投票策略 位姿估计
Other AbstractBin-picking system containing of industrial robot and machine vision is one of the hotspots in recent years. Aiming at common planar objects in industrial environment (e. g. steel plates) , on the base of the voting-based pose estimation algorithm[8] , this paper proposed an efficient planar object recognition and localization algorithm based on boundary point pair feature, and it has been successfully applied in the automatic grinding system of steel plates with industrial robot. In addition, the using of pose clustering algorithm as well as methods of pose verification and pose refinement efficiently increased the accuracy and robustness of the system. According to the statistical results of the system in industrial environment, not only the pose localization accuracy is well within the tolerances for the grasping of steel plates, but also the processing time meets the real-time requirement of the system.
Document Type期刊论文
Corresponding Author赵银帅
Recommended Citation
GB/T 7714
赵银帅,吴清潇,付双飞,等. 基于边缘点对特征的板型物体识别与定位系统[J]. 计算机应用研究,2019,36(2):601-605.
APA 赵银帅,吴清潇,付双飞,&张正光.(2019).基于边缘点对特征的板型物体识别与定位系统.计算机应用研究,36(2),601-605.
MLA 赵银帅,et al."基于边缘点对特征的板型物体识别与定位系统".计算机应用研究 36.2(2019):601-605.
Files in This Item: Download All
File Name/Size DocType Version Access License
基于边缘点对特征的板型物体识别与定位系统(1923KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[赵银帅]'s Articles
[吴清潇]'s Articles
[付双飞]'s Articles
Baidu academic
Similar articles in Baidu academic
[赵银帅]'s Articles
[吴清潇]'s Articles
[付双飞]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[赵银帅]'s Articles
[吴清潇]'s Articles
[付双飞]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 基于边缘点对特征的板型物体识别与定位系统.pdf
Format: Adobe PDF
All comments (0)
No comment.

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