A novel parallel classification network for classifying three-dimensional surface with point cloud data-Reference-Cited by-同舟云学术

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A novel parallel classification network for classifying three-dimensional surface with point cloud data

Published:2021-08-11 Issue: Volume: Page:
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Zhao Chen,Du Shichang^ORCID,Lv Jun,Deng Yafei,Li Guilong

Funder

National Natural Science Foundation of China

Shanghai Pujiang Program

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10845-021-01802-2.pdf

Reference30 articles.

1. Choudhary, A. K., Harding, J. A., & Tiwari, M. K. (2008). Data mining in manufacturing: A review based on the kind of knowledge. Journal of Intelligent Manufacturing, 20(5), 501. https://doi.org/10.1007/s10845-008-0145-x

2. Colosimo, B. M., Mammarella, F., & Petrò, S. (2010). Quality control of manufactured surfaces. Frontiers in Statistical Quality Control, 9, 55–70.

3. Colosimo, B. M., Semeraro, Q., & Pacella, M. (2008). Statistical process control for geometric specifications: On the monitoring of roundness profiles. Journal of Quality Technology, 40(1), 1–18. https://doi.org/10.1080/00224065.2008.11917709

4. Di Angelo, L., & Di Stefano, P. (2015). Geometric segmentation of 3D scanned surfaces. Computer-Aided Design, 62, 44–56. https://doi.org/10.1016/j.cad.2014.09.006

5. Du, S., Liu, C., & Huang, D. (2015a). A shearlet-based separation method of 3D engineering surface using high definition metrology. Precision Engineering, 40, 55–73. https://doi.org/10.1016/j.precisioneng.2014.10.004

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