Knowledge-based automatic extraction of multi-structured light stripes
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
http://link.springer.com/article/10.1007/s11554-019-00851-4/fulltext.html
Reference17 articles.
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2. Liu, J.Y., Liu, J.B., Guo, Z.H., Ren, D.C., Ren, Z.B., Li, Y.: A three-dimensional tool measurement system based on surface structured light. J. Electron. Meas. Instrum. 30, 1884–1891 (2016). https://doi.org/10.13382/j.jemi.2016.12.011
3. Ding, C., Tang, L.W., Cao, L.J., Shao, X.J., Deng, S.J.: Image distortion correction algorithm for complicated deep-hole profile using structured-light. Infrared Laser Eng. 46, 1217008 (2017). https://doi.org/10.3788/IRLA201746.1217008
4. Pribanic, T., Diez, Y., Roure, F., Salvi, J.: An efficient surface registration using smartphone. Mach. Vis. Appl. 27, 559–576 (2016). https://doi.org/10.1007/s00138-016-0751-0
5. Zheng, L.B., Wang, X.D., Yan, F.: 3D reconstruction method based on linear-structured light stripe for welding seam. Laser Optoelectron. Progr. 51, 041005 (2014). https://doi.org/10.3788/LOP51.041005
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2. Research on Automatic Error Data Recognition Method for Structured Light System Based on Residual Neural Network;Applied Sciences;2023-02-24
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