Image stitching method based on plane similarity of feature points

Abstract

The invention discloses an image splicing method based on the plane similarity of feature points. Firstly, the feature points of the two images to be spliced ​​are respectively extracted, and then the feature points are matched to obtain a matching pair of feature points, and then the feature points are matched based on the plane similarity. Point matching pairs are screened, and the screening method is as follows: first randomly select the smallest sampling set, calculate its homography matrix, and then calculate the residual error between each matching pair and each homography matrix to form a residual vector, according to the residual Calculate the plane similarity between two matching pairs by vector, and then filter the matching pairs; calculate the transformation matrix according to the filtered matching pairs, transform the two images to be stitched into the same coordinate system, and then find the optimal suture line, according to The optimal suture line is used for image fusion to obtain the image stitching result. The invention adopts matching pairs of feature points screened by plane similarity for registration and splicing, which can improve the accuracy and robustness of image splicing.

Description

Technical field [0001] The present invention belongs to the technical field of computer vision, and more specifically, relates to an image stitching method based on the plane similarity of feature points. Background technique [0002] Image stitching is to combine a series of images with overlapping areas for the same scene into a wide viewing angle image. At present, there are mainly two ways to obtain high-resolution images with a large field of view: one is to obtain a professional image acquisition device such as a wide-angle camera; the other is to use image splicing technology to splice a small field of view image obtained by a common image acquisition device such as a digital camera. Large field of view image. However, the cost of obtaining panoramic images through professional equipment is usually too high and cannot be widely used. Therefore, image stitching technology has become a research hotspot in computer vision, image processing and computer graphics. [0003] Imag...

AI Technical Summary

Problems solved by technology

[0004] The traditional stitching technology based on feature points has certain requirements for the pose or scene of the camera during shooting: rotating and shooting images or shooting scenes at the same viewpoint can be approximated as planar scenes, while for images with parallax between different viewpoints, there is no It is difficult to achieve the ideal splicing effect

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