中图分类号：TP391.4 文献标志码：A DOI: 10.16157/j.issn.0258-7998.244928
中文引用格式： 石李智，刘宾. 关于相机自标定算法的研究[J]. 电子技术应用，2024，50(7)：78-82.
英文引用格式： Shi Lizhi，Liu Bin. Research on camera self-calibration algorithms[J]. Application of Electronic Technique，2024，50(7)：78-82.

Research on camera self-calibration algorithms

Abstract： In response to the challenges posed by traditional self-calibration methods for cameras, which require three orthogonal vanishing points that are often difficult to satisfy in practical scenarios, and face difficulties in determining distortion coefficients, this paper proposes an improved camera calibration method. The proposed method introduces a technique based on two vanishing points and low-rank textures for calibrating and correcting distortion in an onboard camera. The method initially employs the RANSAC algorithm for vanishing point detection, utilizing the geometric properties between the vanishing points and the camera imaging projection model to solve for the camera's focal length and extrinsic parameters. Then it models the image with low-rank characteristics and iteratively solves for the camera's distortion coefficients using an augmented Lagrangian algorithm. Experimental results demonstrate that the proposed method exhibits superior accuracy and practicality.

Key words : camera calibration；vanishing points；low-rank texture；RANSAC；augmented Lagrangian algorithm；distortion coefficients