Abstract
Coded structured light based 3D reconstruction is one of the most reliable methods to recover a scene. The errors in the reconstruction are mainly caused by indirect illumination. So it is necessary to suppress the effect of indirect illumination to improve the reconstruction accuracy. In this paper, a simulation method of coded structured light based 3D reconstruction is presented. A simulated point cloud with high accuracy is generated for the noise reduction for the actual point cloud. A down-sampling method based on edge detection is also proposed to improve the efficiency of loading and transporting a point cloud. The experiment results verify the performance of simulation and down-sampling.
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Acknowledgements
The authors would like to gratefully acknowledge the reviewers comments. This work is supported by National Key R&D Program of China (Grant Nos. 2019YFB1310200), National Natural Science Foundation of China (Grant Nos. U1713207 and 52075180), Science and Technology Program of Guangzhou (Grant Nos. 201904020020), and the Fundamental Research Funds for the Central Universities.
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Wang, N., Xie, W., Zhong, K., Zhang, X. (2020). A Brief Simulation Method for Coded Structured Light Based 3D Reconstruction. In: Chan, C.S., et al. Intelligent Robotics and Applications. ICIRA 2020. Lecture Notes in Computer Science(), vol 12595. Springer, Cham. https://doi.org/10.1007/978-3-030-66645-3_40
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DOI: https://doi.org/10.1007/978-3-030-66645-3_40
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