Earticle

초록

영어

The human face is among the most significant objects in an image or video, it contains many important information and specifications, also is required to be the cause of almost all achievable look variants caused by changes in scale, location, orientation, pose, facial expression, lighting conditions and partial occlusions. It plays a key role in face recognition systems and many other face analysis applications. We focus on the feature based approach because it gave great results on detect the human face. Face feature detection techniques can be mainly divided into two kinds of approaches are Feature base and image base approach. Feature base approach tries to extract features and match it against the knowledge of the facial features. This paper gives the idea about challenging problems in the field of human face analysis and as such, as it has achieved a great attention over the last few years because of its many applications in various domains. Furthermore, several existing face detection approaches are analyzed and discussed and attempt to give the issues regarding key technologies of feature base methods, we had gone direct comparisons of the method's performance are made where possible and the advantages/ disadvantages of different approaches are discussed.

목차

Abstract
 1. Introduction
 2. Statement of the Problem
 3. Face Detection Techniques
 4. Feature Base Approach
  4.1 Active Shape Model
  4.2 Low Level Analysis
  4.3 Feature Analysis
 5. Face Detection Database
 6. Conclusion
 References

키워드

저자

• Hiyam Hatem [ School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China, Department Of Computer Science, Collage of Sciences, Baghdad University, Iraq ]
• Zou Beiji [ School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China ]
• Raed Majeed [ School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605