计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 147-150.doi: 10.11896/j.issn.1002-137X.2016.11A.032
楚建浦,何光辉,刘玉馨
CHU Jian-pu, HE Guang-hui and LIU Yu-xin
摘要： 提出了一种优化的小波变换与改进的LDA相融合的人脸识别算法。首先对经过预处理的人脸图像进行2层小波变换并提取特征,然后对小波分解后的高频子带进行融合,并在改进的LDA下利用交替方向法求出投影矩阵和最优融合系数,再结合低频子带在改进的LDA下的特征表示,利用最近邻分类器进行分类。实验结果表明,该算法在ORL及YALE人脸库上的识别效果较传统的人脸识别算法更优。
| [1] Sharma M K,Sharma S.Wavelet Decomposition Based Principal Component Analysis for Face Recognition Using MATLAB[C]∥ International Conference on Communication Systems.2015:42-50 [2] 方杰,谭晓衡.基于小波变换的优化LDA人脸特征提取[J].传感器与微系统,2012,1(5):65-67 [3] Zhang Bai-ling,Zheng Hai-hong.Face recognition by applying wavelet sub-band representation and kernel associative memony [J].IEEE Trans on Neural Networks,2004,15(1):166-177 [4] Puyati W,Walairacht S,Walairacht A.PCA in wavelet domain for face recognition [C]∥Proc of the 8th International Confe-rence on Advanced Communication Technolog.IEEE Press,2006:450-456 [5] Huang Zheng-hai,Li Wen-juan,Wang Jun,et al.Face recogni-tion based on pixel-level and feature-level fusion of the top-le-vels wavelet sub-bands[J].Inf.Fusion,2015,22:99-104 [6] Turk M,Pentland A.Eigenfaces for recognition [J].Journal of Cognitive Neuroscience,1991,3(1):71-86 [7] Belhumeur P N,Hespanha J P,Eigenfaces K D.Fisherfaces:reco-gnition using class specific linear projection[M]∥Computer Vision-ECCV’96.Springer Berlin Heidelberg,1996:43-58 [8] Bansal A,Mehta K,Arora S.Face recognition using PCA and LDA algorithm[C]∥2012 Second International Conferenceon Advanced Computing & Communication Technologies(ACCT).2012:251-254 [9] 齐兴敏,尹朝庆,李智博.基于改进LDA算法的人脸识别[J].计算机与数字工程,2007,5(8):31-37 [10] Loog M,Duin R P W.Haeb-Umbach R.Multiclass linear dimension reduction by weighted pairwish Fisher criteria[J].IEEE Patt Anal Mach Intel,2001,3(7):762-766 [11] 张勇胜.一种新的线性判别准则在人脸识别中的应用[J].兰州理工大学学报,2008,4(2):101-103 [12] 董兰芳,任乐乐,董玉德.复杂光照下的人脸姿态估计[J].小型微型计算机系统,2016(3):598-602 |
| No related articles found! |
|
||
首页