REAL-TIME HEAD POSE ESTIMATION USING DEPTH MAP FOR AVATAR CONTROL

@inproceedings{Tu2012REALTIMEHP,
  title={REAL-TIME HEAD POSE ESTIMATION USING DEPTH MAP FOR AVATAR CONTROL},
  author={Yu Tu and Chih-Lin Zeng and Che-Hua Yeh and Sheng-Yen Huang and T. C. Cheng and Ming Ouhyoung},
  year={2012}
}
In this paper, we propose a system to estimate head poses only using depth information in real-time, thus does not even need illumination. We first track the user’s nose, and sample an amount of 3D points around the nose. Then we use a plane to fit the point cloud by least square error method, and the normal vector of the plane yields yaw and pitch angles of the user’s head orientation. On the other hand, the rolling angles are estimated by fitting the head contours with an ellipse. Our system… CONTINUE READING

Citations

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An improved approach for depth data based face pose estimation using particle swarm optimization

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A fast and robust head pose estimation system based on depth data

  • 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)
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Head pose estimation on depth data based on Particle Swarm Optimization

  • 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
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