Face image resolution reconstruction method, device, equipment and storage medium

A resolution reconstruction and face image technology, which is applied in the face image resolution reconstruction method, equipment, storage media, and device fields, can solve the problems of single source of face image reconstruction materials, poor reconstruction efficiency and timeliness, and achieve material full effect

Active Publication Date: 2022-05-31
PING AN TECH (SHENZHEN) CO LTD
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the technical problems of single source of human face image reconstruction materials and poor reconstruction efficiency and timeliness

Method used

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  • Face image resolution reconstruction method, device, equipment and storage medium
  • Face image resolution reconstruction method, device, equipment and storage medium
  • Face image resolution reconstruction method, device, equipment and storage medium

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Embodiment Construction

[0065] The embodiments of the present invention provide a face image resolution reconstruction method, apparatus, device, and storage medium. this hair

[0083] The face image can be represented by the "incidence-reflection" model, i.e. the image H(x,y):

[0104] 206. Input the second feature maps into the second deconvolution layer in the activation layer to perform feature amplification,

[0106] 208. Input the sixth feature maps into the pooling layer to perform feature dimension reduction processing to obtain a plurality of third features

[0107] 209. Input the third feature maps into the third convolutional layer for network expansion, so as to perform network expansion on the third feature maps.

[0110] F

[0113]

[0118] It can be clearly seen from the expression: Relu is actually a function that takes the maximum value. The Relu function is actually divided into

[0120] The method for reconstructing the resolution of a face image in the embodiment of the present inven...

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Abstract

The invention relates to the field of artificial intelligence, and discloses a face image resolution reconstruction method, device, equipment and storage medium. The method for reconstructing the resolution of a human face image includes: obtaining joint face data comprising a variety of different sources, wherein the joint face data includes first human face images with different resolutions and corresponding IDs; according to the According to the identity ID, data alignment is performed on the first face images from different sources to obtain multiple sets of first face images to be reconstructed; the dynamic range of each set of first face images is respectively determined by using a preset homomorphic filter. Compress to obtain a plurality of sets of second face images; input each set of second face images into a preset resolution reconstruction model for feature extraction and deconvolution sampling, and output super-resolution faces corresponding to each identity ID image. The present invention can acquire face image data from multiple sources and perform image super-resolution reconstruction with high efficiency and high timeliness.

Description

Face image resolution reconstruction method, device, device and storage medium technical field The present invention relates to artificial intelligence field, relate in particular to a kind of face image resolution reconstruction method, device, equipment and storage medium. Background technique [0002] With the development of Internet big data, the application of user face image data is more and more extensive, such as face recognition, Face alignment, expression recognition, and 3D face reconstruction all require clear, high-resolution face image data to achieve now. Restoring a low-resolution image into a high-resolution image can be accomplished by using an image reconstruction model, which applies a wide range of neural The network model has outstanding performance in image resolution reconstruction. [0003] There are three types of image reconstruction methods: difference-based, reconstruction-based and learning-based, but they are limited to only It can rec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/30201G06T2207/20056G06T2207/20081G06T2207/20084
Inventor 卢春曦王健宗黄章成
Owner PING AN TECH (SHENZHEN) CO LTD
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