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Image matching method based on robust feature matching of advanced neighborhood topology consistency

A technology of robust features and matching methods, which is applied in the field of image matching, can solve the problems that the topological consistency of the neighborhood cannot distinguish between inner points and outer points, excessive penalties for outer points, and the construction of neighborhood structures is no longer reliable, etc. , to achieve the effect of good application prospects

Active Publication Date: 2020-11-27
FUJIAN AGRI & FORESTRY UNIV
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Problems solved by technology

However, the main disadvantage of LPM is that the consistency of its existing neighborhood topology cannot distinguish inliers from outliers well, and it is easy to excessively penalize outliers
In addition, when the proportion of outliers in the initial match is high, the construction of its neighborhood structure will no longer be reliable

Method used

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  • Image matching method based on robust feature matching of advanced neighborhood topology consistency
  • Image matching method based on robust feature matching of advanced neighborhood topology consistency
  • Image matching method based on robust feature matching of advanced neighborhood topology consistency

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Embodiment Construction

[0040] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0041] The invention provides an image matching method of robust feature matching based on advanced neighborhood topological consistency, comprising the following steps:

[0042] Step S1. Establish a guided matching strategy model between matching images A and B according to the Bayesian principle;

[0043] Step S2, establishing a soft assignment expression between the vector length ratio and the included angle in the neighborhood of images A and B, and performing a smoothness judgment according to the neighborhood topology weighted consistency;

[0044] Step S3, according to the length ratio of the vectors selected in the two images and the angle between them and the multi-scale K-neighborhood, construct a mathematical model for seeking the minimum cost and solve it to obtain a matching result.

[0045] The following is the specific imp...

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Abstract

The invention relates to an image matching method based on robust feature matching of advanced neighborhood topology consistency. The method is based on the Bayesian principle. Establishing a guide matching strategy model between the matching images A and B; and establishing a soft assignment expression between the vector length ratio and the included angle in the neighborhood of the images A andB, carrying out smoothness judgment according to neighborhood topology weighting consistency, and constructing a mathematical model for seeking the minimum cost according to the length ratio and the included angle of the vector selected in the two images and a multi-scale K neighborhood method. The image matching method is good in precision, recall and F value, so that the image matching method has good application prospect and can be applied to the fields of three-dimensional reconstruction, quick realization of splicing of unmanned aerial vehicle remote sensing images and the like.

Description

technical field [0001] The invention relates to the field of image matching, in particular, the invention relates to an image matching method based on robust feature matching of advanced neighborhood topology consistency. Background technique [0002] For a long time in the past, feature matching has developed into the most important form of image matching. Because it aims to identify and pair salient and stable feature structures with the same or similar properties from two images, it is a basic and key problem in the fields of computer vision, pattern recognition, and image processing. However, feature matching is essentially a complex combinatorial optimization problem with extremely high computational complexity. At the same time, the influence of noise, outliers and complex scene changes has caused many deficiencies in existing feature matching methods, which seriously restrict its practical application ability. Therefore, researching an accurate, robust and efficient...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/22
Inventor 杨长才代栾媛刘翼章魏丽芳陈日清
Owner FUJIAN AGRI & FORESTRY UNIV
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