计算机技术与发展2026，Vol.36Issue(4)：55-60,6.DOI:10.20165/j.cnki.ISSN1673-629X.2025.0306
基于面部动态特征和注意力机制的生成人脸检测
Generative Face Detection Based on Facial Dynamic Features and Attention Mechanism
摘要
Abstract
The development of AI,machine learning and deep learning has given birth to a large number of multimedia processing technologies and tools.Although they are mostly used in legal fields such as entertainment and education,malicious abuse has caused concerns,and face generation technology is typical.The existing generative face detection method focuses on visual appearance features,and has problems such as complex models,susceptible to noise,and low detection accuracy.In this regard,we propose a new generative face detection framework.This framework effectively captures abnormal changes in facial landmark points by analyzing the changes in dynamic characteristics of face landmark points in a video sequence,and combining it with timing modeling and attention mechanisms,thereby improving the accuracy of generating face detection frameworks.Experimental evaluations on multiple data sets prove the effectiveness of the proposed method,where the accuracy rate of the proposed method is as high as 99.76%on the FaceForensics++dataset,demonstrating its superior performance in detecting and generating faces.At the same time,when the proposed method processes c23(light compression)and c40(severe compression),the accuracy rate decreased by only 2.63 percentage points and 10.16 percentage points respectively,effectively verifying its robustness for video compression.关键词
生成人脸检测/人脸地标点/动态特征/时序建模/注意力机制Key words
generative face detection/face landmark points/dynamic features/timing modeling/attention mechanism分类
信息技术与安全科学引用本文复制引用
陈家辉,刘静,刘晋瑜..基于面部动态特征和注意力机制的生成人脸检测[J].计算机技术与发展,2026,36(4):55-60,6.基金项目
湖北省教育厅科学研究计划(D20201102) （D20201102）
