Real-time distortion correction method and system of lens with high precision and wide field of view

Abstract

The invention discloses a real-time distortion correction method and a system of a lens with high precision and wide field of view, belonging to the field of computer vision and computer graphics. The method comprises: a preliminary correction step of establishing a projection equation and finding a space point corresponding to an image point on an image plane according to the projection equation, an optimization step of carrying out error analysis on the preliminarily corrected image to obtain the error of the preliminarily corrected image, and an LUT (Look Up Table) establishment step of correcting the deviation of the projection equation in the preliminary correction step through the error obtained in the optimization step and establishing a mapping relationship between any point on the image and a point on the space. In the invention, in order to simplify the model, the tangential distortion is ignored in the preliminary correction, but the influences caused by the tangential distortion is considered in the local optimization and the radial distortion and the tangential distortion are considered simultaneously so that a real-time correction method with high precision is provided.

Description

technical field [0001] The invention relates to a high-precision wide-field-of-view lens real-time distortion correction method and system, belonging to the fields of computer vision and computer graphics. Background technique [0002] Wide-field-of-view lenses include general wide-angle lenses (greater than 60°) and ultra-wide-field fisheye lenses (generally greater than 180°), which are increasingly used in security monitoring, panoramic photography, and laser capture communications. . However, when the light passes through the wide-field lens, it generally deflects multiple times, resulting in serious distortion (divided into major radial distortion and small tangential distortion), and with the continuous increase of the field of view , the distortion increases gradually. In particular, for fisheye lenses with ultra-wide field of view, the pinhole imaging model is no longer satisfied, and it is not possible to simply use the pinhole model for camera calibration. There...

AI Technical Summary

Problems solved by technology

[0006] ①The above methods are essentially nonlinear fitting based on the principle of the minimum global mean square error, without taking into account the characteristics of actual imaging. For example, for fisheye images, the resolution of the imaging center is generally higher, while the resolution at the edge of the image Generally lower, which makes their distortion correction residual errors larger. If you want to achieve a better distortion correction effect, the above fitting method either needs to use a higher-order polynomial, or use a more complex mapping model, which will increase Computational Complexity and Stability of Large Distortion Correction Algorithm

However, in the case of high precision requirements, it must be considered

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