首页|基于多模态融合技术的红外人脸识别方法

基于多模态融合技术的红外人脸识别方法

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
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。
Infrared facial recognition method based on multimodal fusion technology
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.

multimodal fusion technologyinfrared facial featuresface recognitionidentification accuracy

张杰、汤嘉立

展开 >

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

多模态融合技术 红外人脸 人脸识别 识别准确率

常州市科技支撑计划社会发展项目江苏省高等学校哲学社会科学研究一般项目江苏省高等学校哲学社会科学研究一般项目江苏理工学院教学改革与研究项目江苏理工学院教学改革与研究项目

CE202150292019SJA10612020SJA11731161031203311610311934

2024

10.14016/j.cnki.jgzz.2024.05.246

激光杂志
重庆市光学机械研究所

激光杂志

CSTPCD北大核心
影响因子：0.74
ISSN：0253-2743
年,卷(期)：2024.45(5)
  • 18