期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

Gabor镜像奇偶特征与人脸图像对称性的关系 被引量：3

Relation of Gabor Mirror-like Odd and Even Features and Facial Image Symmetry
下载PDF
导出
摘要 在镜像变换的基础上,给出Gabor镜像奇、偶特征的提取过程,针对YaleB人脸库图像,通过实验对不同子集人脸图像进行定量的对称性分析,并从单幅人脸图像的Gabor镜像奇、偶特征及整体人脸库的目标识别率两方面分析Gabor镜像奇偶特征和人脸图像对称性的关系。 On the base of mirror transformation,this paper presents the extraction process of Gabor mirror-like odd and even features.Aiming at YaleB face image database,it conducts symmetrical analysis quantitatively on different subsets of face images through experiments,studies the relation in terms of the odd and even Gabor features of a single facial image and the recognition rates of the whole database.
作者 赵英男 金忠 刘传才 孟凡斌
机构地区 南京理工大学计算机科学与技术学院 南京信息工程大学计算机与软件学院 吉首大学物理科学与信息工程学院
出处 《计算机工程》 CAS CSCD 北大核心 2010年第8期21-22,26,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60702076) 国家“863”计划基金资助项目(2006AA01Z119) 湖南省自然科学基金资助项目(07JJ6109) 南京信息工程大学科研基金资助项目
关键词 GABOR滤波器 镜像变换 人脸识别 Gabor filter mirror-like transformation face recognition
分类号 TN911.73 [电子电信—通信与信息系统]
  • 相关文献

参考文献5

  • 1Daugman J.Uncertainty Relation for Resolution in Space,Spatial Frequency and Orientation Optimized by Two-dimensional Visual Cortical Filters[J].Journal of the Optical Society of America,1985,2(7):1160-1169.
  • 2Liu Chengjun.Gabor-based Kernel PCA with Fractional Power Polynomial Models for Face Recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(5):572-781.
  • 3Shen Linlin,Li Bai,Fairhurst M.Gabor Wavelets and General Discriminant Analysis for Face Identification and Verification[J].Image Vision Computing,2007,25(5):553-563.
  • 4Choi Wing-Poing,Tse Siu-Hong,Wong Kwok-Wai,et al.Simplified Gabor Wavelets for Human Face Recognition[J].Pattern Recognition,2008,41(3):1186-1199.
  • 5杨琼,丁晓青.对称主分量分析及其在人脸识别中的应用[J].计算机学报,2003,26(9):1146-1151. 被引量：35

二级参考文献9

  • 1Pentland A, Choudbury T. Face recognition for smart environ-ment. Computer, 2000, 33(2):50~55.
  • 2Chellappa R, Wilson C L, Sirohey S. Human and machine rec-ognition of faces: A survey. Proceedings of the IEEE, 1995, 83(5) :705~739.
  • 3Zabrodsky H, Peleg S, Avnir D. Symmetry as a continuous fea-ture. IEEE Transactions on Pattern Analysis and Machine Intel-ligence, 1995, 17(12):1154~1166.
  • 4Reisfeld D, Yeshurun Y. Robust detection of facial features by.generalized symmetry. In: Proceedings of the 1 lth IAPR Inter-national Conference on Computer Vision and Applications,1992, 1(A):117~120.
  • 5Kirby M, Sirovich L. Application of the Karhunen-Lo~ve proce-dure for the characterization of human faces. IEEE Transactionson Pattern Analysis and Machine Intelligence, 1990, 12 ( 1 ) : 103~108.
  • 6Etemad K, Chellappa R. Face recognition using discriminanteigenvector. In: Proceedings of IEEE International Conferenceon Acoustics, Speech, and Signal Processing, 1996, (4):2148.~2151.
  • 7Turk M, Pentland A. Eigenface for recognition. Journal of Cog-nitive Neuroscience, 1991, 3 ( 1 ) : 72 ~ 86.
  • 8Moghaddam B, Pentland A. Probabilistic visual learning for ob-ject representation. IEEE Transactions on Pattern Analysis andMachine Intelligence, 1997, 19(7):696~710.
  • 9Phillips P J, Weehsler H, Huang J, Rauss P. The FERET da-tabase and evaluation proeedure for faee reeognition algorithms.Journal of Image and Vision Computing, 1998, 16 (5) : 295297.

共引文献34

同被引文献28

  • 1Xie Xudong, Lam Kin-Man. Gabor-based Kernel PCA with Doubly Nonlinear Mapping for Face Recognition with a Single Face Image[J]. IEEE Trans. on Image Processing, 2006, 15(9): 2481-2492.
  • 2Lee D D,Seung H S.Learning the parts of objects by non-negative ma-trix factorization [J].Nature,1999,401(6755):788-791.
  • 3Li S Z,Hou X W,Zhang H J.Learning Spatially Localized,Parts-Based Representation [C] //IEEE Conf.on Computer Vision and Pat-tern Recogni-tion,2001.
  • 4邓洪波,金连文.一种基于局部Gabor滤波器组及PCA+LDA的人脸表情识别方法[J].中国图象图形学报,2007,12(2):322-329. 被引量：36
  • 5Liu Jingchen, Slota G, Zheng Gang, et al. Symmetry Detection from Real World Images Competition 2013: Summary and Results [ C ]//Proceedings of IEEE Conference on Computer Vision and Pattern Recogni- tion. Washington D. C. , USA: IEEE Press, 2013: 200- 205.
  • 6Hel O H, Kaplan C S. Computational Symmetry in Computer Vision and Computer Graphics [ M]- Boston, USA : Now Publishers Inc. , 2010.
  • 7Xiang Yin, Li Shutao. Symmetric Object Detection Based on Symmetry and Centripetal-sift Edge De- scriptor[ C]//Proceedings of the 21 st International Conference on Pattern Recognition. Washington D. C. , USA :IEEE Press ,2012 : 1403-1406.
  • 8Sun Yu, Bhanu B. Reflection Symmetry-integrated Image Segmentation[ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence ,2012,34 ( 9 ) : 1827-1841.
  • 9Loy G,Zelinsky A. Fast Radial Symmetry for Detecting Points of Interest [J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25 ( 8 ) : 959- 973.
  • 10Tuzikov A V,Colliot O,Bloch I. Brain Symmetry Plane Computation in MR Images Using Inertia Axes and Optimization [ C ]//Proceedings of the 16th International Conference on Pattern Recognition. Washington D. C. , USA : IEEE Press, 2002 : 516-519.

引证文献3

二级引证文献6

计算机工程
2010年 第8期

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