Research Article
Design of Single Camera 3D Laser Scanning System Based on Artificial Intelligence
@INPROCEEDINGS{10.1007/978-3-030-94182-6_17, author={Wen-da Xie and Qing-bang Zeng}, title={Design of Single Camera 3D Laser Scanning System Based on Artificial Intelligence}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II}, proceedings_a={IOTCARE PART 2}, year={2022}, month={6}, keywords={Artificial intelligence Monocular vision 3D laser scanning System design}, doi={10.1007/978-3-030-94182-6_17} }- Wen-da Xie
Qing-bang Zeng
Year: 2022
Design of Single Camera 3D Laser Scanning System Based on Artificial Intelligence
IOTCARE PART 2
Springer
DOI: 10.1007/978-3-030-94182-6_17
Abstract
At present, the binocular/multi-visual 3D laser scanning system needs to register and match the acquired images, and needs to calibrate and calibrate frequently, which is easy to cause errors. In the hardware design, we choose the model and parameter of camera, laser, stepper motor and its driver. In the software design, we use octree structure to index the 3D data tree structure, preprocess the scanning data, introduce artificial intelligence scanning algorithm, design the optimal hyperplane based on SVM to complete the noise recognition, and finally extract the scanning image features to complete the design of the whole scanning process. Experimental results show that, compared with the traditional system, the light stripe obtained by the design system is complete, and the ranging result is more close to the actual distance.
