[1]PENG Gang,XIONG Chao,XIA Chenglin,et al.A method of vision target localization for dispensing robot based on mark point[J].CAAI Transactions on Intelligent Systems,2018,13(5):728-733.[doi:10.11992/tis.201705010]
Copy
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 5
Page number:
728-733
Column:
学术论文—机器学习
Public date:
2018-09-05
- Title:
-
A method of vision target localization for dispensing robot based on mark point
- Author(s):
-
PENG Gang1; 2; XIONG Chao1; 2; XIA Chenglin2; LIN Bin3
-
1. School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China;
2. Key Laboratory of Image Processing and Intelligent Control of Education Ministry, Huazhong University of Science and Technology, Wuhan 430074, China;
3.
-
- Keywords:
-
PCB; dispensing robot; Mark point; assistant; visual localization; geometric features; improved template matching; invariance
- CLC:
-
TP242
- DOI:
-
10.11992/tis.201705010
- Abstract:
-
To address the problem of visual localization of polychlorinated biphenyl (PCB)-dispensing robots in industrial production, a visual localization algorithm based on mark point is proposed in this paper. The results of traditional template matching, Sift and Surf algorithms, were compared and it was found that these algorithms are inadequate for the identification and location of Mark point. Meanwhile, the geometry features of the Mark point and the real-time requirements of the algorithm were considered so that an improved template-matching algorithm based on Mark point geometry features was realized. Experimental results show that this improved template-matching algorithm based on Mark point geometry features can keep good invariance under translation, scale, and rotation, which can accurately identify and locate the mark points, and then indirectly locate the PCB target points while satisfying engineering reliability and real-time constraints.