Optimization method based on SIFT feature point matching

A feature point matching and optimization method technology, which is applied in image data processing, instruments, character and pattern recognition, etc., can solve the problems that the matching results need to be improved

Active Publication Date: 2014-04-09
SUZHOU SHENGJING INFORMATION TECH CO LTD
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Problems solved by technology

But in the case that the image to be matched has no rotation, the matching result needs to be improved

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  • Optimization method based on SIFT feature point matching

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[0020] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0021] figure 1 It is a flow chart of the method of the present invention. A kind of optimization method based on SIFT feature point matching, it comprises the steps:

[0022] (1) Read the image to be matched;

[0023] (2 Use the scale-invariant feature transformation algorithm to extract image feature points and their descriptors, which are represented by 128-dimensional vectors;

[0024] (3) The K nearest neighbor node algorithm performs cross-matching on the Euclidean distance of the descriptor, that is, first matches the feature description of the left image with the feature description of the right image, and then uses the feature description of the right image to match the feature description of the left image; select Match the same point twice as the base point set for matching;

[0025] (4) Calculate the ratio test value of each point of the basic point se...

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Abstract

The invention discloses an optimization method based on SIFT feature point matching. The optimization method includes the steps that image feature points and descriptors of the image feature points are extracted through the SIFT algorithm, cross matching is carried out on Euclidean distances of the descriptors through the K-nearest node algorithm, the test specific value of each point in a basic point set is calculated, the coordinates of vanishing points are fitted based on coordinate information, and checking is carried out through the vanishing points. By means of the optimization method, wrong matching points generated when only scale space is considered in some SIFT matching methods are avoided.

Description

Technical field: [0001] The present invention belongs to the technical field of image matching in the field of image processing and pattern recognition, and specifically relates to an optimization method for feature point matching based on SIFT (Scale-invariant feature transform, that is, scale-invariant feature transform). Background technique: [0002] Image matching technology is mainly through the corresponding relationship, similarity and consistency analysis of image content, features, structure, relationship, texture and gray level, etc., to find the same image target method. Image matching technology can be divided into: matching technology based on image grayscale, matching technology based on image features, matching technology based on template matching and matching technology based on transform domain. But in the case that the image to be matched has no rotation, the matching result needs to be improved. Invention content: [0003] The purpose of the present i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/64G06K9/00
Inventor 胡伏原董治方
Owner SUZHOU SHENGJING INFORMATION TECH CO LTD
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