一种人脸识别方法、处理器、芯片、电子设备和存储介质

By cropping ultra-high resolution images and extracting facial key points, the face detection model is simplified, solving the problems of high computational cost and neglecting key points, and improving detection accuracy and recognition accuracy.

CN116266411BActive Publication Date: 2026-07-17GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD
Filing Date
2021-12-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, face detection and recognition models for ultra-high resolution images have complex structures, high computational demands, and ignore key facial information, leading to detection failures and low recognition accuracy.

Method used

By cropping the initial image to be identified, the target image to be identified is obtained. Then, a face detection model is used to extract facial key points and features, and the loss value is calculated to obtain the recognition result. This simplifies the model structure and reduces the amount of computation.

Benefits of technology

It reduces computational load, improves face detection accuracy and recognition precision, lowers the requirements for electronic device video memory, and solves the problem of detection failure caused by insufficient video memory.

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Abstract

本申请实施例公开了一种人脸识别方法,方法包括:对获得的初始待识别图像进行裁剪,得到目标待识别图像;将目标待识别图像输入至人脸检测模型,得到待识别人脸图像和待识别人脸的人脸关键点;基于人脸关键点,提取待识别人脸的人脸特征;计算待识别人脸的人脸特征与人脸样本特征之间的损失值,基于损失值得到待识别人脸图像的识别结果。本申请实施例同时还公开了一种处理器、芯片、电子设备和存储介质。
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