基于三点透视的人脸姿态估计算法

丁卓; 童卫青; 赵骥

基于三点透视的人脸姿态估计算法

1.
华东师范大学~~计算机科学技术系, 上海 200241

详细信息

中图分类号: TP391.4
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- 文章访问数: 1437
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- 被引次数: 0
出版历程
- 收稿日期: 2013-08-01
- 修回日期: 2013-11-01
- 刊出日期: 2014-07-25

Face pose estimation based on 3 points perspective

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

摘要

摘要: 提出了基于特征点透视变换和人脸统计模型的人脸姿态估计算法. 首先建立以左右眼睛点和鼻尖为几何特征点的人脸统计模型, 然后推导出这三个特征点在图像平面坐标系和三维世界坐标系间的对应关系, 进而得到从图像平面上的三个特征点估算人脸在三维空间姿态的理论方程, 最后运用迭代方法给出了一个完整的快速人脸姿态估计算法. 实验结果表明, 本算法精度高, 速度快, 具有较好的鲁棒性.
- 人脸姿态估计 /
- 人脸统计模型 /
- 透视变换
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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参考文献(1)

[1]

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