Image matching method and device, equipment and storage medium
A matching method and storage medium technology, applied to instruments, biological neural network models, calculations, etc., can solve the problem of low matching accuracy
Active Publication Date: 2020-02-11
TENCENT TECH (SHENZHEN) CO LTD
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However, these common features are generally effective in matching application scenarios such as traffic sign matching, and often have the problem of low matching accuracy.
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[0033] In order to enable those skilled in the art to better understand the solution of the present application, the present application will be further described in detail below in conjunction with the drawings and specific implementation methods. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0034] For ease of understanding, the hardware composition framework applicable to the solution corresponding to the image matching method of the present application is firstly introduced. see figure 1 , figure 1 It shows a schematic diagram of a hardware composition framework applicable to an image matching method of the present application.
[0035] Depend on figure 1 It can be seen that the hardware composition frame...
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The invention discloses an image matching method and device, computer equipment and a storage medium. The image matching method comprises the steps that obtaining a target image, carrying out the feature extraction of the target image through a depth network, and obtaining a plurality of depth feature blocks of different sizes by the computer equipment; performing fusion processing on the plurality of depth feature blocks to obtain a target feature map, and selecting a depth feature description subset from the target feature map; judging whether the depth feature descriptor set is matched witha depth feature descriptor set of a candidate image or not; and if so, determining that the target image is matched with the candidate image. The provided computer vision technology can extract sufficient effective features, and the deep feature blocks extracted through the deep neural network can represent deep semantic features, and deep semantic features are achieved on the basis of the sufficient effective features, and feature matching is conducted on the basis of the deep feature descriptors, so that the accuracy of feature matching can be greatly improved.
Description
technical field [0001] The present application relates to the technical field of computer vision, in particular to an image matching method, device, computer equipment and storage medium. Background technique [0002] Image matching (image matching) is a method of seeking similar image objects through the analysis of the corresponding relationship, similarity and consistency of image content, features, structures, relationships, textures, and gray levels. Image matching is widely used in image retrieval, object recognition, 3D reconstruction of medical images, etc. [0003] In the current image feature comparison scheme, descriptors are obtained based on the extracted feature points for matching judgment. However, the current common features are not effective in matching application scenarios such as traffic sign matching, and often have the problem of low matching accuracy. In the specific application scenario of traffic sign matching, image matching is crucial to quickly...
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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/22G06F18/253
Inventor 宫鲁津
Owner TENCENT TECH (SHENZHEN) CO LTD