Abstract
Rotation is a critical component in 3D reconstruction systems, where accurate calibration of rotation axis parameters is essential for 3D stitching. In this study, what we believe to be a novel parameters estimation-based method for calibrating rotation axis parameters using 2D planar targets is proposed. Compared to traditional circle fitting methods, this method takes both orientation and position information into account, resulting in better precision performance. By leveraging the transmission of spatial pose relationships, the parameters estimation-based calibration method also effectively mitigates the impact of noise for more accurate calibration of rotation axis parameters. Error validation and 3D reconstruction experiments proved the superior performance of the proposed method. The experiment results demonstrate the effectiveness and applicability of the approach in enhancing the calibration of rotation axis parameters for 3D reconstruction systems.
Funder
National Natural Science Foundations of China
National key research and development plan project
China Postdoctoral Science Foundation
Joint Fund of Ministry of Education for Equipment Pre-research
National Defense Science and Technology Key Laboratory Fund
Guangdong Province key research and development plan project
the Fok Ying Tung education foundation
Young Elite Scientists Sponsorship Program by CAST
Subject
Atomic and Molecular Physics, and Optics