An improved longitude correction algorithm for fisheye image edge distortion

Xiu Ji; Huamin Yang; Cheng Han; Hexin Wang; Chaoyue Lang

doi:10.1117/12.2671731

28 April 2023 An improved longitude correction algorithm for fisheye image edge distortion

Xiu Ji, Huamin Yang, Cheng Han, Hexin Wang, Chaoyue Lang

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126101S (2023) https://doi.org/10.1117/12.2671731
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

The fisheye camera is widely used in computer vision because of its large field of view. However, in optical theory, the large field of view is at the cost of distortion. It is impossible to obtain effective information directly from the fisheye image, so the original image needs to be distorted first to become a linear image without distortion. Aiming at the existence of traditional longitude correction in the image center, edge correction effect is different and edge distortion, introducing the repositioning center algorithm and stretch factor. Firstly, the effective area of fisheye image is obtained by row-by-row column scanning method. And then uses the repositioning center algorithm to obtain the new center and radius, according to the distortion principle to calculate the distortion principle. The mapping relationship between the target image and the original image is obtained, and finally modified by the bilinear interpolation method. Compared with the traditional longitude correction, the proposed algorithm can correct the fisheye image accurately and effectively and improve the quality of correction.

Citation Download Citation

Xiu Ji, Huamin Yang, Cheng Han, Hexin Wang, and Chaoyue Lang "An improved longitude correction algorithm for fisheye image edge distortion", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126101S (28 April 2023); https://doi.org/10.1117/12.2671731

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