Grid-optimization-based registration method for panoramic image splicing

Abstract

The invention belongs to the technical field of digital images, and particularly relates to a grid-optimization-based registration method suitable for free view angle image splicing. In recent years,due to the application prospect in the fields of virtual reality, medical imaging and the like, the panoramic image is greatly concerned. The image registration is mainly used for obtaining position parameters of each image in a panorama. Traditional image registration needs to execute a series of operations such as feature point extraction, matching, homography matrix solving and camera parametercorrection. According to the grid-optimization-based registration method, a grid optimization-based registration method is used for replacing a classic registration technology, so that the speed is obviously improved, and the grid-optimization-based registration method is suitable for splicing images with large parallax shot at a free visual angle. According to the grid-optimization-based registration method, ORB rapid feature extraction is used for obtaining feature points of an image, and a strategy of step-by-step coarse and fine matching is introduced, and finally, three constraint termsbased on grid optimization are introduced, and an error function minimization method is used for obtaining optimal registration parameters between the images.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an image registration method based on grid optimization for panorama image mosaic. Background technique [0002] With the rapid development of information technology and the improvement of people's living standards, people's demand for high-quality panoramic images is also increasing. Whether it is virtual reality, panoramic live broadcast, medical imaging, or assisted driving, panoramic images are very good. application prospects. Functionally, people can get more information from panoramic images and get a better visual experience. [0003] In order to obtain wide-angle images, the traditional method is to use a wide-angle lens, such as a fisheye lens, which can capture nearly 180 degrees of the entire scene on the horizontal plane, but this method has at least the following three shortcomings: First, it will introduce distortion visible to the nak...

AI Technical Summary

Problems solved by technology

[0003] In order to obtain wide-angle images, the traditional method is to use a wide-angle lens, such as a fisheye lens, which can capture nearly 180 degrees of the entire scene on the horizontal plane, but this method has at least the following three shortcomings: First, it will introduce distortion visible to the naked eye and distortion, the second is that the resolution is reduced due to the large shooting angle, and the third is that the wide-angle lens is expensive

A homography matrix can only align one plane, if there is parallax and stretching in the original image, very severe ghosting and tilting will appear in the mosaic obtained by using traditional methods, and even the mosaic will fail (the resulting image is completely distorted)

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