Self-adaptive and rapid correcting method for fish-eye lens

Abstract

The invention discloses a self-adaptive and rapid correcting method for a fish-eye lens. The self-adaptive and rapid correcting method for the fish-eye lens comprises the steps that an equidistant projection model is constructed and straight lines at different positions are extracted to obtain a point set; camera parameters are initialized and noise filtering is carried out on the point set; the image plane of the straight lines is further optimized according to the rule that the straight line must be projected as straight lines; the optimized image is projected to six faces of a largest inscribed cube of a unit watching ball by unfolding the cube, and the projection is output; secondary correction is carried out on primary calibration of the same equipment, and if the output projection result has deviation, recalibration is carried out. Through the self-adaptive and rapid correcting method for the fish-eye lens, the fish-eye lens can be rapidly corrected, a large amount of calculation is avoided, the result is accurate, and operation is convenient and rapid.

Description

technical field [0001] The invention relates to an adaptive fast correction method of a fisheye lens. Background technique [0002] Ordinary cameras are widely used in daily life, and the points in three-dimensional space can realize the perspective projection imaging process according to the pinhole model (r=ftanθ). When θ is greater than 60°, r shows an exponential increase. When a 180° field of view is to be achieved, an infinite r is required to satisfy imaging, which is not available in practice. In some scenarios, it is necessary to use a camera to obtain wide-angle video, so many manufacturers have introduced fisheye lenses. Due to the large field of view of the fisheye camera itself, it can provide users with a lot of surrounding information. On the vehicle, it can improve the safety of driving, especially when reversing; for images with the same resolution, more information can be stored, and different regions of interest can be selected for multi-region tracking....

AI Technical Summary

Problems solved by technology

Although the checkerboard calibration method only needs to provide multiple checkerboard calibration board images with different poses, due to the strong distortion caused by fisheye imaging, the straight line becomes an arc in the image, and in order to ensure the calibration accuracy, the calibration needs to use Due to the geometric nature of the checkerboard, all corner points on the calibration board need to be marked manually

This operation not only introduces labeling errors, but also takes a lot of time, making it difficult to meet real-time requirements

[0005] Although other existing correction methods have relatively high accuracy, if they are applied to monitoring, mobile phones, vehicles and other fields, it is difficult to guarantee the implementation requirements, and the required scenarios are relatively limited.

Images