Image processing and image comparison model training method, device and system

An image processing and image technology, applied in the field of image processing, can solve the problem of high false recognition rate

Inactive Publication Date: 2019-07-12
BEIJING KUANGSHI TECH
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Problems solved by technology

[0004] However, the above-mentioned cross-modal image comparison scheme has the problem of high false recognition rate

Method used

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  • Image processing and image comparison model training method, device and system
  • Image processing and image comparison model training method, device and system
  • Image processing and image comparison model training method, device and system

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Embodiment Construction

[0066] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0067] The image processing method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the shooting device 12 can acquire the target image of the target object, and send the target image to the computer device 11; the computer device 11 can extract the image features of the target image from the target image, and combine the image features and the background of the target image Compare the image features of the bottom library images in the bottom library image group to obtain the comparison results for identificat...

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Abstract

The invention relates to an image processing and image comparison model training method, device and system, a computer device and a readable storage medium. The method comprises the steps of obtaininga to-be-compared target image; inputting the target image into a pre-trained image comparison model, and outputting image features of the target image; wherein the image comparison model is obtainedthrough training based on a loss function including self-supervision loss, the self-supervision loss comprises loss between object classification data of different modal images of the same object in atraining sample, and the object classification data is obtained through classification processing based on image features; and comparing the image features of the target image with the image featuresof the base library images in the base library image group to obtain a comparison result. According to the method, the self-supervision loss is introduced for training, no extra marking cost is needed, and the cross-mode comparison accuracy is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image processing and image comparison model training method, device, system, computer equipment and readable storage medium. Background technique [0002] At present, there are more and more application scenarios based on face recognition technology. Under normal circumstances, the base library image used for face recognition is an RGB image, and because of the limitations of the dark light environment and other conditions, the captured image is an IR (Infrad, infrared) image, so there are face comparisons such as RGB images and IR images. Such cross-modal image comparison needs. [0003] A traditional solution is to train a convolutional neural network through the cross-entropy loss of multi-modal image training samples, and realize cross-modal image comparison based on the trained convolutional neural network. [0004] However, the above-mentioned cross-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/241G06F18/214
Inventor 杜佳慧
Owner BEIJING KUANGSHI TECH
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