Distortion correction method of fish eye lens

Abstract

The invention relates to a distortion correction method of a fish eye lens, which is characterized by comprising two steps that: step 1: a coordinate map of a fish eye lens image is established and saved in a memory; and step 2: according to the coordinate map saved in step 1, a fish eye image is obtained by the fish eye lens in the step 1, a target image is recovered through a look-up table method, and the target image is output as the image after distortion correction. Compared with the prior art, the method can set various parameters and produces various coordinate maps for different fish eye lenses, and improve the fish eye correction accuracy; after the maps are put into the memory, the image processing time is not restricted by the complexity of algorithm but mainly decided by the access time of the memory; and therefore, the distortion correction method of the fish eye lens greatly improves the fish eye image distortion correction speed and efficiency, and meets the real-time requirement in industrial application.

Description

technical field [0001] The invention relates to a distortion correction method of a fisheye lens. Background technique [0002] Fisheye lens is an ultra-wide-angle lens that simulates the effect of underwater fish looking up at the water surface. Its typical field of view is 180°, and some exceed 180°, greater than 220°, and even reach 270°. The fisheye lens has many advantages: a large viewing angle, can accommodate many scenes, and can adapt to shooting in a small space, so it is widely used in many computer vision fields such as virtual reality technology, robot navigation, and visual monitoring. Structurally speaking, the fisheye lens is indeed similar to the fisheye structure, and there are two types of fisheye lenses, one is called Circular Image Fisheye (circular fisheye), and the other is called Full Frame Fisheye (full-frame fisheye), the viewing angle of its design is basically 180°. Due to the ultra-wide viewing angle of the image captured by the fisheye lens, t...

AI Technical Summary

Problems solved by technology

Compared with other algorithms, this algorithm has certain advantages. The distortion correction effect at the center position is better, but the curvature phenomenon is serious after correction of pixels in the edge area close to 180°; and it is still lacking in the correction image generation speed , not suitable for real-time occasions such as video surveillance and robot navigation

[0004] In addition, the existing fisheye correction method does not take into account the specificity of the fisheye camera itself, and corrects all fisheye cameras with a fixed parameter model

However, in practical applications, even fisheye cameras of the same manufacturer, the same brand, or even the same batch have imaging differences.

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