Feature extraction method and device

A feature extraction and feature point technology, applied in the field of image matching, can solve the problems of large differences in shooting angles and unsatisfactory image matching effects, etc., and achieve low pickiness, avoid adverse effects, and widely applicable effects

Inactive Publication Date: 2017-08-25
鲁路平
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a feature extraction method and device to improve the unsatisfactory matching effect of images with large shooting angle differences in the prior art

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  • Feature extraction method and device
  • Feature extraction method and device

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Embodiment 1

[0051] The goal of image matching is to find the similarities in the images to be matched that satisfy certain objective constraints. For many tasks that need to obtain certain information through images, image matching is a key and basic step. For example, recovering 3D scenes from stereo image pairs, image retrieval, change detection, and target recognition in security facilities, etc., due to the different imaging characteristics of different sensors, the required image matching algorithms are also different. The technical solutions in the embodiments of the present invention are mainly applicable to common optical images in the field of photogrammetry and computer vision. In this field, image matching can be roughly divided into two types: one type has no or only a small amount of prior information, Matching with relatively few matching points is usually used to establish the initial relative relationship between images; one type is matching with very dense matching points ...

Embodiment 2

[0135] Such as image 3 As shown, the embodiment of the present invention discloses a feature extraction device, including: a first extraction unit 100: used to extract the feature points of the original image; a region growing unit 101: used to assign each feature point more than two different sizes Scale window, the scale window of each feature point is the area obtained with each feature point as the center; in each scale window, the feature point as the center of the scale window is used as the seed point for region growth, and each feature point corresponds to More than two foreground areas, the number of foreground areas corresponding to each feature point is equal to the number of scale windows assigned to each feature point; matrix calculation unit 102: used to calculate the covariance matrix of each foreground area; correction processing unit 103: used to perform affine deformation correction on the image according to the covariance matrix of the foreground area; the ...

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Abstract

The present invention provides a feature extraction method and device, which solves the problem of unsatisfactory matching effect of images with large shooting angle differences in the prior art. The method includes: extracting the feature points of the original image; assigning each of the feature points two or more scale windows of different sizes; in each scale window, using the feature point as the center of the scale window as a seed point The region grows to obtain more than two foreground regions corresponding to each feature point, and the number of foreground regions corresponding to each feature point is equal to the number of scale windows assigned to each feature point; calculate each of the foreground A covariance matrix of the area; performing affine deformation correction on the original image according to the covariance matrix of the foreground area; extracting feature points from the corrected image, and performing feature point description. Using the method can significantly improve the image matching effect, and is easy to implement and easy to popularize and apply.

Description

technical field [0001] The present invention relates to image matching technology, in particular to an image feature extraction method and device. Background technique [0002] It is a very important basic step in the field of computer vision to image the same scene from different shooting orientations, and perform automatic image matching on these images to find out the same-name point in the image (that is, the imaging position of the same object space point on different images). . The greater the difference in shooting orientation of the images, the more serious the deformation between the corresponding images, and the greater the difficulty of image matching. [0003] The current image matching algorithm can match images with less deformation very well, but for images with large differences in shooting angles, such as images exceeding 40 degrees, the matching effect cannot be effectively guaranteed. Contents of the invention [0004] The purpose of the present invent...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
CPCG06V10/464
Inventor 鲁路平张勇
Owner 鲁路平
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