基于卷积神经网络和SVR的年龄估计
|
摘要
人脸图像年龄估计已经成为计算机视觉领域中一个重要的研究课题,具有广泛的应用价值。利用在IM?DB-WIKI年龄数据库上训练得到的卷积神经网络(CNN)提取特征,并利用主成分分析对特征进行降维,最后利用支持向量机回归的方法进行年龄估计。还讨论了对CNN不同层输出的特征进行融合的结果。在FGNET标准年龄数据库上对该算法进行了测试,实验结果表明,本文算法平均绝对误差较小,优于传统的年龄估计方法。
Age estimation from a single facial image is an important task in the field of computer vision, it has a wide range of applications. In this paper, a new algorithm for age estimation is proposed. A convolutional neural network(CNN) trained on IMDB-WIKI face image dataset is used for extracting features of facial images, and then PCA method is used for reducing the dimensionality of feature vector, and finally, SVR model is used to estimate the age of a input facial image. Fusion of features coming from different layers of CNN is discussed. Experiments are conducted on FG-NET dataset which is a standard one used for testing the algorithms of age estimation. Experimental results show that our proposed algorithm is superior to those traditional methods for age estimation.
Age estimation from a single facial image is an important task in the field of computer vision, it has a wide range of applications. In this paper, a new algorithm for age estimation is proposed. A convolutional neural network(CNN) trained on IMDB-WIKI face image dataset is used for extracting features of facial images, and then PCA method is used for reducing the dimensionality of feature vector, and finally, SVR model is used to estimate the age of a input facial image. Fusion of features coming from different layers of CNN is discussed. Experiments are conducted on FG-NET dataset which is a standard one used for testing the algorithms of age estimation. Experimental results show that our proposed algorithm is superior to those traditional methods for age estimation.
引文
[1]潘思宇,赵雯婷,唐鲲,等.人脸年龄估计和年龄面貌合成技术研究进展[J].刑事技术,2017,42(4):270-276.
[2] KWON YH,LOBO NDV. Age classification from facial images[J]. Computer Vision and Image Understanding,1999,74(1):621-628.
[3] COOTES TF,EDWARDS GJ,TAYLOR CJ. Active appearance models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(6):681-685.
[4] GENG X,ZHOU ZH,SMITH-Miles K. Automatic age estimation based on facial aging patterns[J]. IEEE Trans Pattern Anal Mach Intell,2007,29(12):2234-2240.
[5] FU Y,HUANG TS. Human age estimation with regression on discriminative aging manifold[J]. IEEE Transactions on Multimedia,2008,10(4):578-584.
[6] GUO GD,MU GW,FU Y,et al. Human age estimation using bio-inspired features[C]//Proc of the IEEE Conf on Computer Vision and Pattern Rec?ognition(CVPR 2009),2009:112-119.
[7] LANITIS A,DRAGANOVA C,CHRISTODOULOU C. Comparing different classifiers for automatic age estimation[J]. IEEE Trans Syst Man Cybern B Cybern,2004,34(1):621-628.
[8] GUO G,FU Y,HUANG TS,et al. Locally adjusted robust regression for human age estimation[C]//IEEE Workshop on Applications of Computer Vi?sion IEEE Computer Society,2008:1-6.
[9] CHANG KY,HEN CS,HUNG YP. Ordinal hyperplanes ranker with cost sensitivities for age estimation[C]//EEE Conference on Computer Vision and Pattern Recognition,2011:585-592.
[10] GENG X,YIN C,ZHOU ZH. Facial age estimation by learning from label distributions[J]. IEEE Trans Pattern Anal Mach Intell,2013,35(10):2401-2412.
[11] GUO G,FU Y,DYER CR,et al. Image-based human age estimation manifold learning and locally adjusted robust regression[J]. IEEE Transactions Image Processing,2008,17(7):1178-1188.
[12] LANITIS A,TAYLOR CJ,COOTES TF. Toward automatic simulation of aging effects on face images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(4):442-455.
[13] GUO G,MU G. Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression[C]//Computer Vision and Pattern Recognition,IEEE,2011:657-664.
[14]胡斓,夏利民.基于人工免疫识别系统的年龄估计[J].计算机工程与应用,2006,42(26):186-188.
[15]张宇,周志华.基于集成的年龄估计方法[J].自动化学报,2008,34(8):997-1000.
[16]余庆,杜吉祥.基于一种改进NMF算法的人脸年龄估计方法[J].中国图像图形学报,2008,13(10):1865-1868.
[17]黄兵,郭继昌.基于Gabor小波与LBP直方图序列的人脸年龄估计[J].数据采集与处理,2012,27(3):340-345.
[18]瞿中,孔令军,冯欣.典型相关分析融合LBP和HOG特征的人脸年龄估计[J].重庆大学学报,2014,37(4):52-57,87.
[19]李玲芝,梁毅雄,艾玮,等.基于稀疏表示的自动年龄估计[J].中南大学学报(自然科学版),2015,46(3):878-885.
[20] ROTHE R,TIMOFTE R,GOOL L V. Deep expectation of real and apparent age from a single image without facial landmarks[J]. International Jour?nal of Computer Vision,2016:1-14.
[21] SIMONYAN K,ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[J]. Computer Science,2014:1409-1556.
[2] KWON YH,LOBO NDV. Age classification from facial images[J]. Computer Vision and Image Understanding,1999,74(1):621-628.
[3] COOTES TF,EDWARDS GJ,TAYLOR CJ. Active appearance models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(6):681-685.
[4] GENG X,ZHOU ZH,SMITH-Miles K. Automatic age estimation based on facial aging patterns[J]. IEEE Trans Pattern Anal Mach Intell,2007,29(12):2234-2240.
[5] FU Y,HUANG TS. Human age estimation with regression on discriminative aging manifold[J]. IEEE Transactions on Multimedia,2008,10(4):578-584.
[6] GUO GD,MU GW,FU Y,et al. Human age estimation using bio-inspired features[C]//Proc of the IEEE Conf on Computer Vision and Pattern Rec?ognition(CVPR 2009),2009:112-119.
[7] LANITIS A,DRAGANOVA C,CHRISTODOULOU C. Comparing different classifiers for automatic age estimation[J]. IEEE Trans Syst Man Cybern B Cybern,2004,34(1):621-628.
[8] GUO G,FU Y,HUANG TS,et al. Locally adjusted robust regression for human age estimation[C]//IEEE Workshop on Applications of Computer Vi?sion IEEE Computer Society,2008:1-6.
[9] CHANG KY,HEN CS,HUNG YP. Ordinal hyperplanes ranker with cost sensitivities for age estimation[C]//EEE Conference on Computer Vision and Pattern Recognition,2011:585-592.
[10] GENG X,YIN C,ZHOU ZH. Facial age estimation by learning from label distributions[J]. IEEE Trans Pattern Anal Mach Intell,2013,35(10):2401-2412.
[11] GUO G,FU Y,DYER CR,et al. Image-based human age estimation manifold learning and locally adjusted robust regression[J]. IEEE Transactions Image Processing,2008,17(7):1178-1188.
[12] LANITIS A,TAYLOR CJ,COOTES TF. Toward automatic simulation of aging effects on face images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(4):442-455.
[13] GUO G,MU G. Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression[C]//Computer Vision and Pattern Recognition,IEEE,2011:657-664.
[14]胡斓,夏利民.基于人工免疫识别系统的年龄估计[J].计算机工程与应用,2006,42(26):186-188.
[15]张宇,周志华.基于集成的年龄估计方法[J].自动化学报,2008,34(8):997-1000.
[16]余庆,杜吉祥.基于一种改进NMF算法的人脸年龄估计方法[J].中国图像图形学报,2008,13(10):1865-1868.
[17]黄兵,郭继昌.基于Gabor小波与LBP直方图序列的人脸年龄估计[J].数据采集与处理,2012,27(3):340-345.
[18]瞿中,孔令军,冯欣.典型相关分析融合LBP和HOG特征的人脸年龄估计[J].重庆大学学报,2014,37(4):52-57,87.
[19]李玲芝,梁毅雄,艾玮,等.基于稀疏表示的自动年龄估计[J].中南大学学报(自然科学版),2015,46(3):878-885.
[20] ROTHE R,TIMOFTE R,GOOL L V. Deep expectation of real and apparent age from a single image without facial landmarks[J]. International Jour?nal of Computer Vision,2016:1-14.
[21] SIMONYAN K,ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[J]. Computer Science,2014:1409-1556.