• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (04): 802-805.

• 论文 • Previous Articles     Next Articles

Feature extraction algorithm for facial expression based on
improved Kinect point distribution model   

CAO Xiaofeng,CHENG Shi,CHEN Xiang,CHEN Xiaohong   

  1. (School of Computer Science and Technology,Nantong University,Nantong 226019,China)
  • Received:2013-05-07 Revised:2013-09-21 Online:2015-04-25 Published:2015-04-25

Abstract:

In facial expression recognition system, due to the differences of faces,the complexity of organ distribution and the influence of outside factors,facial features location becomes a challenging task.Using Kinect point distribution,we present a feature extraction algorithm for facial expressions,and carry out related experiments.Experimental results show that the proposed method has significant advantages in extracting features that are with unrelated deformation,nonsensitive to noise,or have a high degree of distinction.

Key words: Kinect;feature extraction;facial expression;emotional computing