Earticle

초록

영어

For pose-varied color face image, this paper proposed a method of facial feature location and pose estimation based on an unsupervised sphere skin model and fused facial features. Firstly, an adaptive preprocessing, an established unsupervised sphere model and the holes filling technology were presented to extract the face. Then the difference feature and different local binary pattern textural feature of human face were fused to used in the hybrid integral projection technology for localizing the facial features. Finally, poses were estimated using the geometrical distribution of facial features. Experimental results show that, the method can locate facial features and classify different pose more effectively and adaptively.

목차

Abstract
 1. Introduction
 2. Overall Design Scheme
 3. Face Extraction
  3.1. Preprocessing
  3.2. Unsupervised Sphere Model
  3.3. Obtain the Facial Skin Region
  3.4. Obtain the Whole Face Targets
 4. Facial Feature Location
  4.1. Difference and DLBP Textural Features
  4.2. Hybrid Integral Project
 5. Pose Estimation
 6. Experimental Results
 7. Conclusions
 Acknowledgements
 References

키워드

저자

• Wei Li [ China West Normal University ]

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