An image matching method and device

A matching method and image technology, applied in the field of computer vision, can solve problems such as lack of key point detection, and achieve the effect of good matching accuracy

Active Publication Date: 2022-07-15
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

[0004] In view of this, this application provides an image matching method and device to solve the problem of missing key point detection in the prior art, and its technical solution is as follows:

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Embodiment Construction

[0055] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0056] In view of the problems existing in the prior art, the inventor of this case has conducted in-depth research. In the initial stage of thinking, in order to overcome the limitations of missing detection, a dense matching method is proposed. matches, and then uses 4D convolution to filter out false matches in four-dimensional space.

[0057] The dense matching method considers each pixel on the image for matching, and then uses 4D convolution to ...

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Abstract

The present application provides an image matching method and device. The method includes: acquiring a first image and a second image captured in different shooting states for a target scene; extracting coarse-grained features from the first image and the second image respectively to obtain the first image and the second image. Coarse-grained feature maps corresponding to the two images respectively; perform neighborhood feature aggregation on the coarse-grained feature maps corresponding to the first image and the second image respectively, to obtain the neighborhood aggregation feature maps corresponding to the first image and the second image respectively; The neighborhood aggregation feature corresponding to each pixel in the first image and the neighborhood aggregation feature corresponding to each pixel in the second image determine the coarse-grained feature of each pixel in the first image and each pixel in the second image Similarity; according to the determined coarse-grained feature similarity, determine the matching pixel pair in the first image and the second image. In this application, each pixel point of the first image and the second image is tested for matching, and the matching accuracy is good, and the situation of missing key point detection will not occur.

Description

technical field [0001] The present application relates to the field of computer vision, and in particular, to an image matching method and apparatus. Background technique [0002] Image correspondence learning attempts to establish matching relationships between image pairs containing different lighting and deformation conditions, which can be applied to many computer vision fields such as image retrieval, pose estimation, and 3D reconstruction. [0003] The current image correspondence learning methods are mainly sparse matching methods. This sparse matching method usually extracts key points of interest and learns feature descriptions, and finally uses the mutual nearest neighbor criterion to establish matching. However, this kind of method is easy to use under some extreme appearance changes. There is a problem with missing keypoint detection. SUMMARY OF THE INVENTION [0004] In view of this, the present application provides an image matching method and device to solv...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/74G06V10/75G06K9/62
CPCG06F18/22
Inventor 张天柱张哲何建峰张勇东吴枫
Owner UNIV OF SCI & TECH OF CHINA
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