全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于样本分布相似度的期望分布鉴别分析*

, PP. 751-756

Keywords: 期望分布鉴别分析(EDDA),线性鉴别分析(LDA),主分量分析(PCA),特征抽取

Full-Text   Cite this paper   Add to My Lib

Abstract:

主分量分析(PCA)和线性鉴别分析(LDA)是模式识别领域使用广泛的两种特征抽取方法.本文针对两种方法的不足之处,并从样本分布相似度出发提出一种期望分布鉴别分析(EDDA)方法,抽取到的鉴别特征的总体分布和设定的期望分布最为相近.即通过EDDA得到的投影向量可以抽取出最接近理想分布的鉴别特征.EDDA在投影向量的求解问题上不存在小样本问题,抽取的鉴别特征维数小,并且整体识别性能得到增强.在ORL、Yale人脸库上的实验结果证明本文方法在人脸识别精度上优于PCA和LDA方法.

References

[1]  Zhao W, Chelllappa R, Phillips P J, et al. Face Recognition: A Literature Survey. Technical Report, CARTR948, College Park, USA: University of Maryland. Center for Automation Research, 2000
[2]  Kirby M, Sirovich L. Application of the KL Procedure for the Characterization of Human Faces. IEEE Trans on Pattern Analysis and Machine Intelligence, 1990, 12(1): 103108
[3]  Turk M, Pentland A. Eigenfaces for Recognition. Journal of Cognitive Neuroscience, 1991, 3(1): 7186
[4]  Belhumeur P N, Hespanha J P, Kriengman D J. Eigenfaces vs. Fisherfaces: Recognition Using Class Special Linear Projection. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711720
[5]  Swets D L, Weng J. Using Discriminant Eigenfeatures for Image Retrieval. IEEE Trans on Pattern Analysis and Machine Intelligence, 1996, 18(8): 831836
[6]  Chen L F, Liao H Y M, Han C C, et al. A New LDABased Face Recognition System Which Can Solve the Small Sample Size Problem. Pattern Recognition, 2000, 33(10): 17131726
[7]  Huang Rui, Liu Qingshan, Lu Hanging, et al. Solving the Small Sample Size Problem of LDA // Proc of the International Conference on Pattern Recognition. Quebec, Canada, 2002: 2932
[8]  Yang Jian, Yang Jingyu. Why Can LDA be Performed in PCA Transformed Space? Pattern Recognition, 2003, 36(2): 563566
[9]  Jin Zhong. Research on Feature Extraction of Face Images and Feature Dimensionality. Ph.D Dissertation. Nanjing, China: Nanjing University of Sience and Technology. Department of Computer Science and Technology, 1999 (in Chinese) (金 忠.人脸图像特征抽取与维数研究.博士学位论文.南京:南京理工大学.计算机科学与技术学院, 1999)
[10]  Jin Zhong, Yang Jingyu, Hu Zhongshan, et al. Face Recognition Based on Uncorrelated Discriminant Transformation. Pattern Recognition, 2001, 34(7): 14051416

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133