Asymmetric lens distortion compensation method based on linear reconstruction of feature points

Fanwei Gong; Jie Zhong

doi:10.1117/12.3057726

13 February 2025 Asymmetric lens distortion compensation method based on linear reconstruction of feature points

Fanwei Gong, Jie Zhong

Author Affiliations +

Proceedings Volume 13539, Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024); 1353910 (2025) https://doi.org/10.1117/12.3057726
Event: Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024), 2024, Nanjing, China

Abstract

This paper proposes a new method to compensate for asymmetric lens distortion through feature point projection transformation and linear reconstruction. The method involves traversing the world coordinates of calibration image feature points using a minimum reference grid and calculating the composite projection transformation error of all grids. The composite projection error is obtained through weighted calculations based on linear constraints, cross-ratio constraints, and parallel line constraints. After a second screening, the reference grid area with the minimum projection error is identified. Subsequently, the optimal reference grid is optimized with the goal of minimizing the composite error. Finally, the optimized feature point coordinates are solved with the corresponding world coordinates to derive the homography matrix. This allows the linear reconstruction of the entire calibration image's feature points through projection transformation, and the parameters of the asymmetric lens distortion model are optimized. Consequently, a high-precision asymmetric lens distortion model is obtained, allowing for compensation and correction of the asymmetric distortion.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fanwei Gong and Jie Zhong "Asymmetric lens distortion compensation method based on linear reconstruction of feature points", Proc. SPIE 13539, Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024), 1353910 (13 February 2025); https://doi.org/10.1117/12.3057726

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