Open Access
| Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 6 | |
| Section | Industrial Design and Engineering Technology | |
| DOI | https://doi.org/10.1051/matecconf/202133602009 | |
| Published online | 15 February 2021 | |
- S.W. Park, Y.S. Kim, S.O. Lee, B.H. Lim, T.G. Kim, C.Y. Park, B.J. Choi, et al, J. Sens.Technol, Technol.Machine vision system design for inspecting steel bearing balls, 17(5),338-345(2008). [Google Scholar]
- L. Rusli, A. Luscher, Assem.Autom, Fastener identification and assembly verification via machine vision, 38(1), 1-9(2018). [Google Scholar]
- L.F. Li, Y. Li, Int.J.Eng.Sci, Improved SIFT feature matching, 5(9),38-43(2019). [Google Scholar]
- Hu, F. Zhang, Yang, Lin, Luo, Zhang, Sens.Transducers, The Research and Application of SURF Algorithm Based on Feature Point Selection Algorithm. 169(4),67-72(2014). [Google Scholar]
- B.B. Xu, P.Y. Liu, J.N. Zhang, ICMIT 2018, Research on Improved RGB-D SLAM Algorithm based on ORB Feature, 3,2(2017). [Google Scholar]
- H. Wu, Z.J. Miao, Q. Zhang, Optik, Image composition optimization based on feature match and detail preserved, 125(16),4370-4373(2014). [Google Scholar]
- C. Shao, X. Ye, Z.J. Zhang, D.Y. Zhou, Assem.Autom, Force and position deviations estimation for ultra-thin tube assembly, 36(4),405-411(2016). [Google Scholar]
- M.M. Yang, J.C. Liu, Z.G. Li, Singal.Process.Image.Commun, Pre-processing for single image dehazing, 83(2020). [Google Scholar]
- Y. Zhang, C. Li, C.Q. Cao, Comput. Sci, An Improved ORB Feature Point Matching Algorithm, 207-211(2018) [Google Scholar]
- J.L. Liu, F.L. Bu, J. Eng. Technol, Improved RANSAC features image-matching method based on SURF, 23(2019),9118-9122(2019). [Google Scholar]
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