3D measurement based on omnidirectional vision using hexagonal pyramid mirrors

Qi Wang; Hongzhi Jiang; Wenxuan Peng; Huijie Zhao; Xudong Li

doi:10.1117/12.3046285

13 December 2024 3D measurement based on omnidirectional vision using hexagonal pyramid mirrors

Qi Wang, Hongzhi Jiang, Wenxuan Peng, Huijie Zhao, Xudong Li

Author Affiliations +

Proceedings Volume 13496, AOPC 2024: Optical Sensing, Imaging Technology, and Applications; 134960H (2024) https://doi.org/10.1117/12.3046285
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Many industrial components have an unfolded structure that can form a large area of flat or bowl-shaped surfaces. These surfaces are challenging to measure accurately. Catadioptric omnidirectional vision methods, owing to their wide field of view, have emerged as viable solutions for large-scale surface 3D measurement tasks. Addressing the issue of non-stitching measurement, a compact and efficient omnidirectional vision-based method using hexagonal pyramid mirrors is proposed. Mirrors are employed to reflect images from the 360° environment into the camera. Internal and external parameters of the omnidirectional vision sensor are calibrated using a laser tracker. The proposed method enables 360° omnidirectional measurement to be completed after a single imaging, showing advantages such as high accuracy, fast speed, and compact size. Its instantaneous imaging feature enables its application in dynamic surface 3D measurement. Measurement experiments are conducted on large-scale surfaces, ultimately obtaining the 3D coordinates of the mark points on the surface. The calculation results can be used for flatness measurement and profile evaluation, demonstrating the feasibility of the proposed omnidirectional vision sensor for high-precision 3D measurement.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qi Wang, Hongzhi Jiang, Wenxuan Peng, Huijie Zhao, and Xudong Li "3D measurement based on omnidirectional vision using hexagonal pyramid mirrors", Proc. SPIE 13496, AOPC 2024: Optical Sensing, Imaging Technology, and Applications, 134960H (13 December 2024); https://doi.org/10.1117/12.3046285

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KEYWORDS

Cameras

Sensors

3D metrology

Mirrors

Calibration

Imaging systems

3D modeling

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