摘要
针对人脸识别与年龄估计系统中的环境光照问题,提出了一种基于多任务卷积神经网络的变化光照下人脸识别与年龄估计的方法。所提方法提高了可变光照下人脸图像的识别率和年龄估计的准确率。采用YCbCr颜色空间的Retinex图像增强算法提高人脸识别和年龄估计精度,并进行了3种距离10种调光等级下的人脸识别与年龄估计实验。实验结果表明,与原图相比,利用改进后方法得到的人脸图像的识别率均有提升,年龄估计的平均绝对误差均有所下降。在调光等级为40%、距离为1,2,3 m时,人脸识别率分别提升了3个百分点、19个百分点、25个百分点,年龄估计的平均绝对误差分别下降了1.20、2.99、2.00。同时,在研究中发现,当未增加图像增强算法的人脸图像灰度均值在50.18以上时,人脸识别与年龄估计效果较好。当低于该值时,则需要增加图像增强算法来提高人脸识别与年龄估计的精度。在增加图像增强算法后,当人脸图像灰度均值在56.61以上时,人脸识别与年龄估计效果较好且视觉效果和图像质量均更好。
Aiming at the problem of environmental illumination in face recognition and age estimation system,a face recognition and age estimation method based on multi-task convolutional neural network under varying illumination is proposed.The recognition rate of face images and the accuracy of age estimation under varying illumination are improved by the proposed method.Retinex image enhancement algorithm in YCbCr color space is used to improve the accuracy of face recognition and age estimation,and the face recognition and age estimation experiments under 10 kinds of dimming level for three kinds of distance are carried out.Experimental results show that compared with the original images,the recognition rates of the face images obtained by the improved method are improved,and the average absolute errors of age estimation are decreased.When the dimming level is 40%,and the distance is 1,2,and 3 m,the face recognition rates are increased by 3 percentage points,19 percentage points,and 25 percentage points,and the average absolute error of age estimation is decreased by 1.20,2.99 and 2.00.At the same time,it is found that the effect of face recognition and age estimation is better when the gray mean value of face image without image enhancement algorithm is more than 50.18.When it is lower than the value,it is necessary to add the image enhancement algorithm to improve the accuracy of face recognition and age estimation.After adding the image enhancement algorithm,when the gray mean value of the face image is more than 56.61,the effect of face recognition and age estimation is better,and the visual effect and image quality are better.
作者
田会娟
乔明天
蔡敏鹏
Tian Huijuan;Qiao Mingtian;Cai Minpeng(Tianjin Key Laboratory of Optoelectronic Detection and System,School of Electronic and Information Engineering,Tiangong University,Tianjin 300387,China;Engineering Research Center of Ministry of Education on High Power Solid Lighting Application System,Tianjin 300387,China;School of Control Science and Engineering Engineering,Tiangong University,Tianjin 300387,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2022年第2期244-253,共10页
Laser & Optoelectronics Progress
基金
国家自然科学基金(61504095)
天津市科技计划项目(18ZXCLGX00090)。
关键词
图像处理
人脸检测
人脸识别
年龄估计
变化光照
image processing
face detection
face recognition
age estimation
varying illumination
