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视频中适应光照可变情况下的人脸识别方法 被引量：2

Adaptive Method for Video-Based Face Recognition under Variable Illumination
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摘要 提出一种结合使用自适应直方图均衡(AHE)、Gabor滤波器及局部三值模式(LTP)描述器进行视频中上下左右和正面光照条件下识别人脸的方法.首先,使用AHE对来自YaleB与CMU-PIE数据库的人脸图片进行降噪处理.然后用Gabor滤波器进行卷积,提取出相应的Gabor特征图,针对每一个Gabor特征图利用LTP描述器提取出局部邻域关系模式.最后由这些模式的区域直方图形成的序列来描述人脸.YaleB人脸库以及CMUPIE人脸库验证该方法的有效性. A method is proposed, which combines adaptive histogram equalization （ AHE）, Gabor wavelet and LTP, to improve the video-based facial recognition under left, right, up, down and front illumination. Firstly, the AHE is used to reduce illumination variations on the existed face images from YaleB and CMU PIE face databases. Then, the images are convolved with Gabor filters to extract their corresponding Gabor feature maps and the LTP is used on each Gabor feature map to extract the local neighbor pattern. Finally, the input face image is described by using the histogram sequence extracted from all these region patterns. The results compared with the published results on YaleB and CMU PIE face databases of changing illumination verified the validity of the proposed method.
作者 王华锋 王蕴红 马凯迪 张兆翔
机构地区 北京航空航天大学计算机学院 北京航空航天大学软件学院
出处 《模式识别与人工智能》 EI CSCD 北大核心 2011年第6期856-861,共6页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金项目(No.60873158 61005016 61061130560) 国家973计划项目(No.2010CB327902) 中央高校基本科研业务费专项资金项目资助
关键词 人脸识别 GABOR小波 局部三值模式(LTP) 自适应直方图均衡(AHE) Face Recognition, Gabor Wavelets, Local Ternary Patterns （ LTP）, Adaptive Histogram Equalization （AHE）
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献13

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同被引文献19

  • 1杜博,张乐飞,章梦飞,熊维.基于张量主成分分析的人脸图像压缩与重构[J].华中科技大学学报（自然科学版）,2013,41(S2):201-204. 被引量：5
  • 2Liao S,Jain A K,Li S Z.Partial face recognition:alignment-free approach.pattern analysis and machine intelligence.IEEE Transactions on,2013; 35(5):1193-1205.
  • 3Xie S,Shan S,Chen X,et al.Fusing local patterns of gabor magnitude and phase for face recognition.Image Processing,IEEE Transactions on,2010; 19(5):1349-1361.
  • 4Rahulamathavan Y,Phan R C W,Chambers J A,et al.Facial expression recognition in the encrypted domain based on local fisher discriminant analysis.Affective Computing,IEEE Transactions on,2013; 4(1):83-92.
  • 5Karande K J,Talbar S N.Canny edge detection for face recognition using ICA.Independent Component Analysis of Edge Information for Face Recognition.Springer India,2014:21-33.
  • 6Zhou T,Tao D,Wu X.Manifold elastic net:a unified framework for sparse dimension reduction.Data Mining and Knowledge Discovery,2011 ; 22(3):340-371.
  • 7Chan C H,Tahir M A,Kittler J,et al.Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors.Pattern Analysis and Machine Intelligence,IEEE Transactions on,2013; 35(5):1164-1177.
  • 8El Aroussi M,El Hassouni M,Ghouzali S,et al.Local steerable pyramid binary pattern sequence LSPBPS for face recognition method.International Journal of Signal Processing (IJSP),2009 ;5 (4):281-284.
  • 9El Aroussi M,El Hassouni M,Ghouzali S,et al.Local appearance based face recognition method using block based steerable pyramid transform.Signal Processing,2011 ; 91 (1):38-50.
  • 10Yang M,Zhang L,Shiu S C K,et al.Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary.Pattern Recognition,2013; 46 (7):1865-1878.

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模式识别与人工智能
2011年 第6期

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