Poster + Paper
27 November 2023 Camera calibration method based on improved DLT algorithm
Yuxue Liu, Ming Liu, Yuting Zhou, Liquan Dong, Lingqin Kong
Author Affiliations +
Conference Poster
Abstract
Camera calibration is one of the key tasks in the field of computer vision, finding extensive applications in various domains, including photogrammetry, 3D reconstruction, augmented reality, and autonomous driving. The Direct Linear Transform (DLT) algorithm, a classical approach for camera calibration, estimates camera parameters by solving a system of linear equations. However, traditional DLT methods may face accuracy and stability issues when dealing with noise, distortion, and nonlinear effects. To address these limitations, this paper introduces a camera calibration method based on the Improved DLT algorithm. This method incorporates distortion models into the traditional DLT algorithm and utilizes Levenberg-Marquardt (LM) optimization techniques to enhance calibration accuracy and stability. The key steps involve data preparation, DLT estimation, and nonlinear optimization. Experimental results demonstrate that the Improved DLT algorithm outperforms traditional DLT methods, particularly in cameras with significant distortion and wide field of view. It exhibits smaller reprojection errors and achieves a more uniform error distribution, especially at image edges. This research contributes by providing a more accurate and robust camera calibration method, offering valuable tools for computer vision applications, and advancing the development and application of computer vision technology.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yuxue Liu, Ming Liu, Yuting Zhou, Liquan Dong, and Lingqin Kong "Camera calibration method based on improved DLT algorithm", Proc. SPIE 12767, Optoelectronic Imaging and Multimedia Technology X, 1276710 (27 November 2023); https://doi.org/10.1117/12.2686632
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KEYWORDS
Camera calibration

Distortion

Cameras

Calibration

Matrices

Computer vision technology

Mathematical optimization

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