Journal of East China Normal University(Natural Sc ›› 2014, Vol. 2014 ›› Issue (4): 43-53, 61.

• Article • Previous Articles     Next Articles

Face pose estimation based on 3 points perspective

DING Zhuo, TONG Wei-qing, ZHAO Ji   

  1. Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China
  • Received:2013-08-01 Revised:2013-11-01 Online:2014-07-25 Published:2014-07-25

Abstract: This paper presents an approach of face pose estimation
which is based on the feature point perspective transformation and
the statistical face model. First, we build the statistic face model
using three geometric feature points (2 eye points and one nose
tip). Second, we deduce the corresponding relationship of the three
points between the image coordination system and the world
coordination system, and obtain the equations for estimating the
face pose from the three points in the face image. Finally, using
iterative method, we give a complete fast algorithm of face pose
estimation. The experiment result shows that the proposed approach
is accurate, fast and robust.

Key words: face pose estimation, statistical face model, perspective transformation

CLC Number: