Face pose estimation based on 3 points perspective

DING Zhuo; TONG Wei-qing; ZHAO Ji

Issue 4

Jul. 2014

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DING Zhuo, TONG Wei-qing, ZHAO Ji. Face pose estimation based on 3 points perspective[J]. Journal of East China Normal University (Natural Sciences), 2014, (4): 43-53, 61.

Citation:

DING Zhuo, TONG Wei-qing, ZHAO Ji. Face pose estimation based on 3 points perspective[J]. Journal of East China Normal University (Natural Sciences), 2014, (4): 43-53, 61.

DING Zhuo, TONG Wei-qing, ZHAO Ji. Face pose estimation based on 3 points perspective[J]. Journal of East China Normal University (Natural Sciences), 2014, (4): 43-53, 61.

Citation:

DING Zhuo, TONG Wei-qing, ZHAO Ji. Face pose estimation based on 3 points perspective[J]. Journal of East China Normal University (Natural Sciences), 2014, (4): 43-53, 61.

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Face pose estimation based on 3 points perspective

1.
Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China

Received Date: 2013-08-01
Rev Recd Date: 2013-11-01
Publish Date: 2014-07-25

Abstract

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.
- face pose estimation,
- statistical face model,
- perspective transformation

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References(1)

References

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