An Image Generation Method Based on Extrinsic Parameter Correction of Fisheye Camera

Abstract

The present invention is an image generation method based on a fish-eye camera, an original plane model for imaging, and a spherical model of the field of view. Field spherical model; internal parameter correction step, according to the initial external parameters, respectively determine the reference mapping relationship between the field of view spherical model and the reference spherical model of each of the fisheye cameras; external parameter correction step, in the reference field of view spherical model In the model, the same second feature point is determined as the same name group, the deviation distance between the second feature points in each same name group is calculated, and the initial external parameters of each fisheye camera are corrected until the deviation distance of all the same name groups. The sum is the smallest, and the modified external parameters are obtained. In the panoramic imaging step, the images collected by each fisheye lens are projected into the reference spherical model according to the modified internal parameters and the modified external parameters to obtain a panoramic image.

Description

technical field [0001] The invention relates to an image processing method, in particular to an image generation method based on external parameter correction fisheye camera. Background technique [0002] Panoramic video is a low-cost virtual reality technology based on image stitching technology, and it is a research hotspot in the field of virtual reality and computer vision technology. Panoramic stitching technology has been widely used in many fields as a cheap and intuitive way, such as VR / AR, video shooting, video surveillance, real estate, decoration design, tourist attractions, virtual campus, street view services, etc. market demand. In order to capture larger and more complete high-definition panoramas, a panoramic camera usually consists of more than two cameras to cover a full range of viewing angles. Since the lens of a fisheye camera has the characteristics of a large field of view, the panoramic camera Most of them are composed of fisheye cameras. [0003] ...

AI Technical Summary

Problems solved by technology

[0003] To generate a panoramic image, it is necessary to splicing the collected original images through several fisheye cameras. If splicing is to be realized, the precise internal parameters and external parameters of each fisheye camera must be obtained; However, due to the limitations of industrial manufacturing technology, the relative pose relationship between cameras cannot meet the accurate alignment requirements of the theoretical value of the pose relationship between cameras. Stitching of acquired video images will produce obvious misalignment and ghosting

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