Ms. Yan Lu Profile

Yan Lu

at Xi'an Univ of Science and Technology

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Proceedings Article | 14 February 2020 Paper

Optimization calibration of fish-eye camera and its research in 3D reconstruction

Chunsen Zhang, Lu Yan

Proceedings Volume 11430, 114300U (2020) https://doi.org/10.1117/12.2538198

KEYWORDS: Cameras, Distortion, 3D modeling, Calibration, Image processing, Visual process modeling, Error analysis, Reconstruction algorithms, Prisms, Eye models

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According to the characteristics of fish-eye camera, such as large field of view and super short focal length, the traditional camera calibration algorithm based on the small hole imaging model cannot achieve the calibration. This paper proposed a fish-eye camera calibration optimization based on the traditional Kannala model. Firstly, the camera imaging model and distortion type of the fish-eye camera are studied, and on the basis of the traditional Kannala model, the piecewise polynomial approximation model is established to realize the original model optimization. Then, the intrinsic parameters and distortion coefficients of the camera are obtained according to the traditional Kannala model and the optimization model，and the distortion correction images are obtained by intrinsic parameters and distortion coefficients. Finally, the advantages of this algorithm are quantitatively and qualitatively analyzed by using the re-projection error and the multiview stereo vision 3D reconstruction of the distorted correction image. The results indicate that the camera parameters and distortion coefficients were obtained by calibration to correct the original image and to carry out 3D reconstruction of multi-view stereo vision, and the reverse projection error analysis and 3D reconstruction visualization of the camera check are proved to be effective in the calibration of the optimized model camera.

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