Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement
Dongcai Tan, Shunkun Liang, Bin Li, Banglei Guan, Ang Su, Yuan Lin, Dapeng Zhang, Minggang Wan, Zibin Liu, Chenglong Wang, Jiajian Zhu, Zhang Li, Yang Shang, and Qifeng Yu

TL;DR
This paper introduces an interactive, optimized pose guidance framework for stereo calibration in 3D deformation measurement, improving accuracy and efficiency over traditional methods, and validated through simulations and real-world tests.
Contribution
It presents a novel joint optimization method for pose selection with a user-friendly interface, enabling high-precision calibration with fewer images and greater robustness.
Findings
Requires fewer calibration images than traditional methods.
Achieves lower measurement errors and higher accuracy.
Demonstrates robustness across different fields of view.
Abstract
Stereo optical measurement techniques, such as digital image correlation (DIC), are widely used in 3D deformation measurement as non-contact, full-field measurement methods, in which stereo calibration is a crucial step. However, current stereo calibration methods lack intuitive optimal pose guidance, leading to inefficiency and suboptimal accuracy in deformation measurements. The aim of this study is to develop an interactive calibration framework that automatically generates the next optimal pose, enabling high-accuracy stereo calibration for 3D deformation measurement. We propose a pose optimization method that introduces joint optimization of relative and absolute extrinsic parameters, with the minimization of the covariance matrix trace adopted as the loss function to solve for the next optimal pose. Integrated with this method is a user-friendly graphical interface, which guides…
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Taxonomy
TopicsOptical measurement and interference techniques · Robotics and Sensor-Based Localization · 3D Surveying and Cultural Heritage
