Open Access
Issue
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
Article Number 01037
Number of page(s) 7
Section Information and Communication Technology
DOI https://doi.org/10.1051/matecconf/20152201037
Published online 09 July 2015
  1. Lei Songze. 2006. MATLAB Realization of Face Feature Extraction Based on PCA. Computer Development and Application. 19 (11): 20–21. [Google Scholar]
  2. Tian Yinzhong, Dong Zhixue. & Huang Jianwei. 2010. Research and Implementation of Face Recognition Algorithm Based on PCA. Inner Mongolia Science &Technology and Economy. (6): 56–57. [Google Scholar]
  3. Zhao Zhihong. 2014. Implementation of Face Recognition Algorithm Based on Dynamic Optimization PCA. Journal of Nanjing Industry and Technology College. 14 (2): 39–44. [Google Scholar]
  4. Liang Luhong, Ai Haizhou, Xu Guangyou. & Zhang Bo. 2002. Research Summary of Face Detection. Journal of Computers. 25 (5): 1–22. [Google Scholar]
  5. Lei Qinli. 2002. Multivariate Statistical Analysis of Economic Management. Beijing: China Statistics Press. [Google Scholar]
  6. Wang Liangliang, Sun Jixiang, Tan Zhiguo. 2008. Face Tracking System Based on Face Detection and CAMS-GIFT Algorithm. Microcomputer Applications. 29(2): 14–17. [Google Scholar]
  7. Gupta S, Aggarwal J K, Markey M K, et al. 2007:1–7. 3D face recognition founded on the structural diversity of human faces. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapois. [Google Scholar]
  8. Peng Hui, Zhang Changshui, Rong Gang. 1997. Automatic Face Recognition Method Based on K-L Transformation Journal of Tsinghua University (Natural Science Edition). (16): 71–86. [Google Scholar]
  9. Hu Xinfang. 2013. Applied Research of Combination of Particle Swarm and Genetic Algorithm in PCA Face Recognition Algorithm. Central China Normal University. [Google Scholar]
  10. Liu Qingrui. 2009. Research and Implementation of Face Recognition Algorithm Based on Partitioning PCA. Northeastern University. [Google Scholar]
  11. Liu Yongjun, Tan Yunfei, Zhu Xiaoyu, Chang Jinyi. 2009. PCA and Dynamic Face Recognition Based on Image Matrix Transformation. Journal of Changshu Institute of Science and Technology (Natural Science Edition).23 (2): 101–105. [Google Scholar]
  12. Chen Fubing, Chen Xiuhong, Zhang Shengliang. 2006. Face Recognition Method Based on Modular 2D PCA. Journal of China Image and Graphics. 11 (4): 580–585. [Google Scholar]
  13. Zhang Ying. 2009. Research of Face Recognition Algorithm Based on Two-dimensional Principal Component Analysis. Chongqing University. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.