Gender and age estimation method and terminal based on perception enhancement
By introducing perceptual enhancement technology into gender and age estimation models, the problem of difficulty in processing low-resolution image is solved, and more accurate gender and age feature extraction and estimation are achieved.
CN119693990AActive Publication Date: 2025-03-25SICHUAN COMPUTER RES INST
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Patent Information
- Application Number
- CN202510200523.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-24
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2045-02-24
AI Technical Summary
Technical Problem
The prior art is difficult to effectively process low-resolution images, resulting in gender and age estimation models that cannot be correctly predicted in practical applications.
Method used
A gender and age estimation method based on perception enhancement is adopted, and a feature extraction network that can effectively process low-resolution images through steps such as image data preprocessing, image feature perception enhancement, backbone image feature extraction, multi-level feature fusion and gender and age estimation.
Benefits of technology
It improves the accuracy of extracting gender and age features in low-resolution images, enhances the utilization of image details, and improves the accuracy of age estimation.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a gender and age estimation method based on perception enhancement and a terminal. The method comprises the following steps: S1, preprocessing image data; s2, image feature perception enhancement; s3, extracting features of the trunk image; s4, performing multi-level feature fusion; s5, performing gender and age estimation; the method is a feature extraction network specially designed for a low-resolution face image, and the image feature size and the image detail information are increased through perception enhancement, so that the accuracy of face gender and age estimation in a low-resolution scene is enhanced. According to the method, the low-resolution human face image is subjected to perception enhancement, and the face detail information is increased, so that the gender and age estimation accuracy under the low-resolution image is improved.
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