Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Robust Face Alignment Based on Hierarchical Classifier Network
 

Summary: Robust Face Alignment Based on Hierarchical
Classifier Network
Li Zhang1
, Haizhou Ai1
, and Shihong Lao2
1
Department of Computer Science, Tsinghua University,
Beijing 100084, China
2
Sensing and Control Technology Lab, Omron Corporation,
Kyoto 619-0283, Japan
ahz@mail.tsinghua.edu.cn
Abstract. Robust face alignment is crucial for many face processing ap-
plications. As face detection only gives a rough estimation of face region,
one important problem is how to align facial shapes starting from this
rough estimation, especially on face images with expression and pose
changes. We propose a novel method of face alignment by building a
hierarchical classifier network, connecting face detection and face align-
ment into a smooth coarse-to-fine procedure. Classifiers are trained to
recognize feature textures in different scales from entire face to local

  

Source: Ai, Haizhou - Department of Computer Science and Technology, Tsinghua University

 

Collections: Computer Technologies and Information Sciences