Earticle

초록

영어

To make sure human face can be more accurately identified in various poses, an identification method based on the characteristics human face image have been proposed in the thesis. First, it is a design for the optimal sampling matrix to acquire compressed measurement data; then it adopts iterative method based on the close loops of l2 and l1 in normal form to get an estimate on human face images, since the method based on norm l2 can measure the relevancy of human face images in the space and time of the continuous time point, and the method based on norm l1 mainly uses the modified total variation method and basis pursuit noise-reduction method. The simulation design has suggested that the method adopted in the thesis can achieve a higher human face identification rate and a remarkable promotion effect.

목차

Abstract
 1. Introduction
 2. Sparse Difference Images
 3. Optimal Method Description of the Two Norms
  3.1. l2  Norm Optimization Method
  3.2. l1  Norm Optimization Method
 4. Simulation Experiment
  4.1. Human Face Base
  4.2. Result and Analysis
 5. Conclusion
 References

키워드

저자

• Yongqiang Li [ Software Technology Vocational College, North China University of Water Resources and Electric Power, Zhengzhou 450045, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605