Fisheye image rectification using spherical and digital distortion models

Xin Li; Yingdong Pi; Yanling Jia; Yuhui Yang; Zhiyong Chen; Wenguang Hou

doi:10.1117/12.2305834

19 February 2018 Fisheye image rectification using spherical and digital distortion models

Xin Li, Yingdong Pi, Yanling Jia, Yuhui Yang, Zhiyong Chen, Wenguang Hou

Author Affiliations +

Proceedings Volume 10607, MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis; 106070G (2018) https://doi.org/10.1117/12.2305834
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Fisheye cameras have been widely used in many applications including close range visual navigation and observation and cyber city reconstruction because its field of view is much larger than that of a common pinhole camera. This means that a fisheye camera can capture more information than a pinhole camera in the same scenario. However, the fisheye image contains serious distortion, which may cause trouble for human observers in recognizing the objects within. Therefore, in most practical applications, the fisheye image should be rectified to a pinhole perspective projection image to conform to human cognitive habits. The traditional mathematical model-based methods cannot effectively remove the distortion, but the digital distortion model can reduce the image resolution to some extent. Considering these defects, this paper proposes a new method that combines the physical spherical model and the digital distortion model. The distortion of fisheye images can be effectively removed according to the proposed approach. Many experiments validate its feasibility and effectiveness.

Citation Download Citation

Xin Li, Xin Li, Yingdong Pi, Yingdong Pi, Yanling Jia, Yanling Jia, Yuhui Yang, Yuhui Yang, Zhiyong Chen, Zhiyong Chen, Wenguang Hou, Wenguang Hou, "Fisheye image rectification using spherical and digital distortion models", Proc. SPIE 10607, MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis, 106070G (19 February 2018); doi: 10.1117/12.2305834; https://doi.org/10.1117/12.2305834

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