Paper
30 August 2022 Improving the accuracy of a monocular guided handheld structured light scanning system with Kalman filter
Zhaohui Ji, Jingbo Zhou, Kai Wang, Yafang Qin, Yuehua Li
Author Affiliations +
Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 1230915 (2022) https://doi.org/10.1117/12.2645749
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China
Abstract
Handheld line structured light scanning system (SLSS) is a convenient choice to get the three-dimensional data of the objects. However, its accuracy is dominated by the calibration process and the extrinsic parameters of the handheld device. The extrinsic parameters are computed in real-time manner and connect the sensor coordinate system and the world coordinate system. However, significant noises can be observed due to the ambient light. To improve the accuracy, Kalman filter method is adopted and smoother extrinsic results of the handheld device can be achieved. This would also benefit for the final measurement results. The simulation and the experimental results further validate the effectiveness of the proposed method.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaohui Ji, Jingbo Zhou, Kai Wang, Yafang Qin, and Yuehua Li "Improving the accuracy of a monocular guided handheld structured light scanning system with Kalman filter", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 1230915 (30 August 2022); https://doi.org/10.1117/12.2645749
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KEYWORDS
Filtering (signal processing)

Cameras

Structured light

Calibration

Clouds

Sensors

Infrared imaging

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