Image feature matching method and device which combine SURF and ORB

A technology of image features and matching methods, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of wrong results, high wrong matching rate, difficult to describe the geometric shape of spatial information, etc. The effect of accuracy and speed

Inactive Publication Date: 2019-02-22
CHINA UNIV OF MINING & TECH
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Problems solved by technology

Vector distances can be shown to be similar, but it is difficult to describe the geometry of the spatial information
[0008] When eliminating mismatches, the RANSAC algorithm calculates the number of iterations of parameters without an upper limit, which increases the complexity of the calculation; if the upper limit of the number of iterations is set, the result may not be the best result, and may even get wrong results. It needs to be set Thresholds associated with the problem
Moreover, the original image matching algorithm based on binary features has the limitation of limited matching constraints. There are multiple similar regions in the local image, and the error matching rate is high. It is difficult for RANSAC to effectively remove error points.

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  • Image feature matching method and device which combine SURF and ORB
  • Image feature matching method and device which combine SURF and ORB
  • Image feature matching method and device which combine SURF and ORB

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Embodiment Construction

[0051] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0052] An embodiment of the present invention provides an image feature matching method combining SURF and ORB, which will be described below with reference to the accompanying drawings.

[0053] refer to figure 1 As shown, the method includes: steps S101-S106;

[0054] S101. Input a first image and a second image;

[0055] S102. Using SURF to respectively detect scale-invariant feature points in the first image and the second im...

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Abstract

The invention relates to an image feature matching method and device which combine SURF and ORB. The method comprises the following steps of: inputting a first image and a second image; detecting feature points with scale invariance in the first image and the second image by SURF respectively; describing the feature points in the first image and the second image respectively by an ORB feature descriptor; completing an initial match according to a Hamming distance and a cosine similarity between a descriptor of the feature point in the first image and a descriptor of the feature point in the second image; eliminating mismatch in the initial match according to a PROSAC algorithm; generating a matching relationship of feature points in the first image and the second image. It can effectivelyimprove the accuracy and speed of image feature matching, while reducing the rate of mismatch.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to an image feature matching method and device combining SURF and ORB. Background technique [0002] In recent years, image matching has become a hot topic in the field of computer vision. Image matching technology is an important branch of image processing applications, and has a wide range of applications in many fields, such as image restoration, object tracking, image stitching, image fusion, 3D reconstruction, and pattern recognition. Therefore, the research on image matching has important theoretical significance and practical application value. [0003] The basic and key issue of computer vision is the accuracy and speed of image matching. Image matching methods are divided into two methods based on regions and based on features. The latter method has better performance than region-based methods in terms of noise, rotation, scaling, illumination changes, and graysca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/54G06K9/62
CPCG06V10/20G06V10/462G06V10/758G06V10/757
Inventor 程德强李腾腾白春梦赵广源刘海查伟李化玉王鹏
Owner CHINA UNIV OF MINING & TECH
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