A stereo camera self-calibration method using DIC-based planar feature matching

Yifan Ji; Wei Yin

doi:10.1117/12.2642330

19 December 2022 A stereo camera self-calibration method using DIC-based planar feature matching

Yifan Ji, Wei Yin

Proceedings Volume 12319, Optical Metrology and Inspection for Industrial Applications IX; 1231917 (2022) https://doi.org/10.1117/12.2642330
Event: SPIE/COS Photonics Asia, 2022, Online Only

Conference Poster

Abstract

In stereo vision, depth information is obtained by establishing a spatial correspondence between the two cameras based on the triangulation, so it is important to maintain high-accuracy calibration parameters of the stereo cameras. However, under some extreme conditions, such as high temperature, high pressure, and strong vibration, there are irreversible changes in the parameters of the camera lens and the spacing between two cameras, which leads to the invalidation of known calibration parameters. In this paper, a stereo camera self-calibration method is proposed to get high-accuracy feature point pairs from speckle planar image pairs using the DIC-based grid point matching technique. The calibration result of cameras is corrected after SVD and RANSC iteration, which can enhance the quality of stereo rectification and the 3D measurement accuracy of stereo vision.

Citation Download Citation

Yifan Ji and Wei Yin "A stereo camera self-calibration method using DIC-based planar feature matching", Proc. SPIE 12319, Optical Metrology and Inspection for Industrial Applications IX, 1231917 (19 December 2022); https://doi.org/10.1117/12.2642330

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