期刊文献+

小波包变换在人脸识别光照补偿中的应用 被引量:2

Application of Wavelet Packet Transform for Illumination Compensation in Face Recognition
下载PDF
导出
摘要 提出了一种用于非均匀光照条件下人脸识别的光照补偿算法。该算法首先将人脸图像变换到对数域,并在对数域中计算2维小波包变换,通过舍弃部分子带图像中的系数来实现人脸图像的非均匀光照补偿。由于人脸光照补偿的目的是为了提高人脸识别性能,所以光照补偿的效果利用人脸识别率来表征。在YaleB人脸库中,与对数域离散余弦变换(DCT)光照补偿算法进行了比较,实验结果表明,本文方法的人脸识别平均误识率可以达到0.53%,比对数域DCT方法具有更好的性能。 A novel illumination compensation algorithm for face recognition under non-uniform illumination conditions was presented. Firstly, the face images were transformed from spatial domain, to logarithm domain, and the 2-dimensional wavelet packet transform was calculated. Secondly, coefficients of some sub-band images were discarded for face illumination compensation in logarithm domain. The effect of face illumination compensation was denoted by face recognition rate because the intention of illumination compensation was to improve the performance of face recognition. The proposed approach was compared with the Discrete Cosine Transform (DCT) method in logarithm domain on Yale B face database. The experimental results show that the average error rate of the proposed approach can reach 0.53%, which is superior to the DCT method for face illumination compensation in logarithm domain.
出处 《光电工程》 EI CAS CSCD 北大核心 2008年第1期50-54,共5页 Opto-Electronic Engineering
基金 国家自然科学基金(60475007) 重庆市教委自然科学基金 重庆三峡学院自然科学基金资助项目
关键词 人脸识别 人脸光照补偿 小波包变换 对数域 face recognition face illumination compensation wavelet packet transform logarithm domain
  • 相关文献

参考文献11

  • 1Weilong Chen,Meng Joo Er,Shiqian Wu.Illumination compensation and normalization for robust face recogntion using discrete cosine transform in logarithm domain[J].IEEE Trans.on Systems,Man,and Cybernetics,Part B:Cybernetics,2006,36(2):458-466.
  • 2Peter N Belhumeur,Joao P Hespanha,David J Kriegman.Eigenfaces vs.fisherfaces:recognition using class specific linear projection[J].IEEE Trans.on Pattern Analysis and Machine Intelligence,1997,19(7):711-720.
  • 3Yael Adini,Yael Moses,Shimon Ullman.Face recognition:the problem of compensating for changes in illumination direction[J].IEEE Trans.on Pattern Analysis and Machine Intelligence,1997,19(7):721-731.
  • 4Shashua A,Riklin-Raviv T.The quotient image:class-based re-rendering and recognition with varying illuminations[J].IEEE Trans.on Pattern Analysis and Machine Intelligence,2001,23(2):129-139.
  • 5Basri R,Jacobs D W.Lambertian reflectance and linear subspaces[J].IEEE Trans.on Pattern Analysis and Machine Intelligence,2003,25(2):218-233.
  • 6Xie X,Lam K M.Face recognition under varying illumination based on a 2D face shape model[J].Pattern Recognition,2005,38(2):221-230.
  • 7Xie Xu-dong,Lam Kin-man.An efficient illumination normalization method for face recognition[J].Pattern Recognition Letters,2006,27(6):609-617.
  • 8Liu D H,Lam K M,Shen L S.Illumination invariant face recognition[J].Pattern Recognition,2005,38(10):1705-1716.
  • 9Xiong Z,Ramchandran K,Orchard M T.Wavelet packet image coding using space-frequency quantization[J].IEEE Trans.on Image Processing,1998,7(6):892-898.
  • 10Ramchandran K,Vetterli M.Best wavelet packet bases in a rate-distortion sense[J].IEEE Trans.on Image Processing,1993,2(2):160-175.

同被引文献28

  • 1黄鸿,李见为,冯海亮.基于有监督的核局部线性嵌入的人脸性别识别[J].光电子.激光,2009,20(2):248-251. 被引量:3
  • 2师一华,杨金锋.图像处理中改进的Gamma矫正方法[J].安阳工学院学报,2005,4(6):67-70. 被引量:7
  • 3徐同莹,彭定明,王卫星.改进的直方图均衡化算法[J].兵工自动化,2006,25(7):58-59. 被引量:19
  • 4杨金锋,师一华,熊兴隆.光照处理中改进的Gamma矫正方法[J].中国民航学院学报,2006,24(4):39-42. 被引量:10
  • 5Zhao W Y,Chellappa R, Phillips P J. A rosenfeld face recogni- tion: A literature survey[J]. ACM Computing Survey, 2003,35 (4) :399-458.
  • 6Moses Y, Adini Y, UIIman S. Face recognition: The problem of compensating for changes in illumination directien[A]. Proceedings of the ECCV'94[C]. 1994,1,286-296.
  • 7Tao L,Kwan H K. 2-D real Gabor transform[A]. Proceedings of International conference on Electrical and Computer Engineering[C]. 1999,2:831-834.
  • 8Farid H. Blind inverse Gamma correction[J]. IEEE Transaction on Image Processing,2001 ,10(2):1428-1433.
  • 9Miao J, Bao C Y, Kong Q W, et al. A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template[J]. Pattern Recognition, 1999,32(7) : 1237-1248.
  • 10Wei S, Robust S L. Face recognition under lighting variations [A]. Proceedings of 17th International Conference on Pattern Recognition[C]. 2004, 1 ; 354-357.

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部