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Error match removal method based on point-line relation consistency

A technology of error matching and consistency, applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve the problems of low efficiency and large amount of algorithm calculation, and achieve the effect of small calculation amount and high efficiency

Inactive Publication Date: 2012-09-12
HENAN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method mainly faces two problems: (1) the constraint model between known images is required; (2) a large number of random extractions for model parameter calculation process leads to a large amount of calculation and low efficiency

Method used

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  • Error match removal method based on point-line relation consistency
  • Error match removal method based on point-line relation consistency
  • Error match removal method based on point-line relation consistency

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Embodiment Construction

[0012] Such as figure 1 Shown is the flow chart of the method for removing false matches based on point-line relationship consistency in the present invention, including: collecting images and inputting them into a computer, using existing feature point detection operators to extract image feature points and performing matching, and performing feature grouping on the matching feature points For pair processing, calculate the supporting feature point set of each feature pair, calculate the point-line relationship consistency of each matching feature pair, and use the point-line relationship consistency to detect and eliminate wrong matching points. The specific implementation details of each step are as follows:

[0013] Step S1: Take two different images of the same scene from different angles and input them into the computer;

[0014] Step S2: Use existing technology to detect and match feature points, such as using SIFT technology; record the obtained initial feature point ...

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Abstract

The invention relates to an error match removal method based on point-line relation consistency, comprising collecting images and inputting the images into a computer, carrying out feature point detection and matching by using the existing technology, carrying out feature pairing processing for the feature points, calculating support feature point set for each feature pair, calculating point-line relation consistency for each feature pair, and testing and removing error matches by using the point-line relation consistency. Compared with the common RANSAC technology, the method of the invention needs no constraint models among the known features and has higher calculating efficiency.

Description

technical field [0001] The invention relates to the field of automatic matching of image features in computer vision, in particular to a method for removing wrong matches in digital images. Background technique [0002] Feature matching technology has important applications in the fields of image retrieval, object recognition, video tracking and augmented reality. However, the results obtained by even the best matching techniques will contain false matches, which generally need to be removed before applying the matching results. RANSAC technology is the most commonly used error matching removal method. Its basic idea is: assuming that the constraint model (such as epipolar constraint, homography constraint, etc.) The matching of quantities is used to calculate the model parameters, and the correct model parameters among the obtained multiple sets of model parameters will be distributed together, while the wrong model parameters will be scattered, and the model parameters lo...

Claims

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Application Information

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IPC IPC(8): G06K9/64
Inventor 刘红敏王志衡姜国权贾宗璞
Owner HENAN POLYTECHNIC UNIV