Image recognition method and device based on figure fine-grained features

A technology of image recognition and human characteristics, applied in the field of image processing

Pending Publication Date: 2020-10-30
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The main purpose of the present invention is to provide an image recognition method and device based on the fine-grained features of people, aiming to

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  • Image recognition method and device based on figure fine-grained features
  • Image recognition method and device based on figure fine-grained features
  • Image recognition method and device based on figure fine-grained features

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Embodiment Construction

[0059] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0060] refer to figure 1 , figure 1 It is a schematic structural diagram of an image recognition device based on fine-grained features of people in the hardware operating environment involved in the solution of the embodiment of the present invention.

[0061] Such as figure 1As shown, the image recognition device based on fine-grained features of people may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display). The optional user interface 1003 may also include a standard wired interface and a wireless interface. T...

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Abstract

The invention relates to the technical field of image processing, and discloses an image recognition method and device based on figure fine-grained features. The method comprises the steps: obtaininga to-be-recognized figure image; performing feature extraction on the to-be-recognized figure image to obtain a figure feature layer; inputting the figure feature layer into a preset super-column feature recognition model to obtain a corresponding image recognition result; obtaining image recognition accuracy according to the image recognition result; and when the image recognition accuracy is greater than or equal to a preset standard threshold, taking the image recognition result as an image recognition result based on the fine-grained characteristics of the person. Compared with the prior art, when an attention mechanism network is used for image processing, key area information cannot be accurately acquired, and image category cannot be accurately identified; and when the figure feature layer is input into the preset super-column feature recognition model, and the key area of the image can be accurately positioned, so that the image recognition result corresponding to the figure image can be quickly and accurately obtained.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image recognition method and device based on fine-grained features of people. Background technique [0002] In daily life, users have the need to recognize the captured images. In the existing technology, in the process of image recognition, a large number of category semantic features are extracted by using features, which is only suitable for coarse-grained image classification tasks. , and will also lose a large number of underlying spatial features such as position, texture, and outline of the image, resulting in the attention mechanism network used for fine-grained image feature location tasks not being able to efficiently and accurately obtain information on key areas, and cannot accurately identify person images. Therefore, how to efficiently and accurately obtain the information of the key areas of the image, so as to accurately identify the person ima...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/10G06N3/045G06F18/2415G06F18/214
Inventor 覃俊罗一凡帖军李子茂徐胜舟叶正马天宇
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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