Large visual field camera nonlinear distortion correction device and method

Abstract

The invention discloses a large visual field camera nonlinear distortion correction device and method. The device comprises a single-star starlight simulator, a two-dimensional turntable, a two-dimensional turntable control system, an optical table and a computer. The method comprises the steps of utilizing a mass center positioning algorithm to confirm mass center position coordinates of star point images at different positions in a camera visual field range, establishing a projection imaging model to calculate ideal imaging position coordinates corresponding to the star point images, fitting a nonlinear distortion model through a BP neural network optimized by a genetic algorithm and achieving distortion correction of a camera to be detected. The large visual field camera nonlinear distortion correction device has the advantages of having simple structure, automatic operation, convenient measurement and high correction algorithm accuracy and easily achieves large visual field camera nonlinear distortion correction.

Description

technical field [0001] The invention relates to the design of a large field of view camera nonlinear distortion high-precision correction device and method, and belongs to the fields of computer vision and computer graphics. Background technique [0002] Due to the processing and installation errors of general cameras, it is difficult to achieve the effect of ideal lens imaging, so that there is nonlinear optical distortion between the actual image formed by the object point on the imaging plane and the ideal image, and with the continuous increase of the field of view, Distortion gradually increases. The size of the distortion determines the imaging quality of the lens and the measurement accuracy of the system to a large extent. Therefore, the correction of the distortion of the optical camera used in the precision measurement system is particularly important. [0003] At present, the mainstream of optical camera geometric distortion correction algorithm is the distortion...

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Problems solved by technology

[0006] The above-mentioned distortion correction methods based on the template image all require that the geometric center of the template image coincides with the optical axis of the camera under test, and the template image and the optical axis must be highly perpendicular, so the alignment error between the template image and the camera under test will affect the distortion correction. thus affecting the measurement accuracy

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