基于多模态融合技术的红外人脸识别方法
Infrared facial recognition method based on multimodal fusion technology
张杰 1汤嘉立2
作者信息
- 1. 江苏理工学院计算机工程学院,江苏常州 213000
- 2. 江苏理工学院计算机工程学院,江苏常州 213000;东南大学电气工程学院,南京 210096
- 折叠
摘要
针对当前红外人识别准确率低问题,提出基于多模态融合技术的红外人脸识别方法.对人脸图像进行去噪与增强处理,得到高灰度级图像,采用二维小波变换提取串联特征向量,利用多模态融合算法计算特征通道的上下文注意力系数,使类间特征差异得以量化,结合模态融合决策函数,对人脸图像特征进行融合,根据分类器的最优分类准则计算图像间的匹配度,实现红外人脸识别.在实验论证中,对所提方法的识别性能进行了验证,结果显示,在大样本与小样本的识别中,所提方法得到的识别准确率为95％左右,对于红外人脸图像具有较高的识别准确率.
Abstract
A multi-modal fusion technology based infrared face recognition method is proposed to address the cur-rent issue of low accuracy in infrared human recognition.Perform denoising and enhancement processing on facial ima-ges to obtain high grayscale images.Use two-dimensional wavelet transform to extract concatenated feature vectors,and use multimodal fusion algorithm to calculate the contextual attention coefficient of feature channels to quantify fea-ture differences between classes.Combined with modal fusion decision functions,fuse facial image features and calcu-late the matching degree between images based on the optimal classification criteria of the classifier,achieving infrared facial recognition.In the experimental demonstration,the recognition performance of the proposed method was veri-fied,and the results showed that in the recognition of large and small samples,the recognition accuracy obtained by the proposed method was about 95％,which has a high recognition accuracy for infrared facial images.
关键词
多模态融合技术/红外人脸/人脸识别/识别准确率Key words
multimodal fusion technology/infrared facial features/face recognition/identification accuracy引用本文复制引用
基金项目
常州市科技支撑计划社会发展项目(CE20215029)
江苏省高等学校哲学社会科学研究一般项目(2019SJA1061)
江苏省高等学校哲学社会科学研究一般项目(2020SJA1173)
江苏理工学院教学改革与研究项目(11610312033)
江苏理工学院教学改革与研究项目(11610311934)
出版年
2024
NETL
NSTL
万方数据