Abstract
For the purpose of reducing erroneous points generated by specular reflections, multiple line structured-light stripes extraction algorithm and laser plane constraint method are proposed for line structu-red-light scanners. At first, all laser stripes in images are extracted with multiple line structured-light stripes extraction algorithm. Then, the three dimensional (3D) points within which include the erroneous data caused by specular reflections are computed by optical-triangulation. Finally, false measurements generated by specular reflections are eliminated with the laser plane constraint method. The effectiveness of the method is verified by eliminating erroneous points in the experiment. The percentage of erroneous points before and after processing is counted to evaluate the performance of the laser plane constraint. The experimental results show that the percentage of erroneous points is 12.61% before processing and is 3.05% after processing, which indicate that the method can effectively eliminate erroneous points with good feasibility.
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Acknowledgment
This research was partially supported by the key research project of Ministry of Science and Technology (Grant No. 2017YFB1301503 and No. 2018YFB1306802) and the National Nature Science Foundation of China (Grant No. 51575332).
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Li, H., Zhang, X., Zhuang, L., Yang, Y. (2019). Specular Surface Measurement with Laser Plane Constraint to Reduce Erroneous Points. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11744. Springer, Cham. https://doi.org/10.1007/978-3-030-27541-9_5
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DOI: https://doi.org/10.1007/978-3-030-27541-9_5
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