Monocular Head Pose Estimation

Authors:
Pedro Martins;Jorge Batista
Affiliations:
Institute for Systems and Robotics Dep. of Electrical Engineering and Computers, University of Coimbra, Portugal;Institute for Systems and Robotics Dep. of Electrical Engineering and Computers, University of Coimbra, Portugal
Venue:
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Year:
2008

Citing 5
Cited 0

Model-based object pose in 25 lines of code

International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Active Appearance Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
A model-based gaze tracking system

IJSIS '96 Proceedings of the 1996 IEEE International Joint Symposia on Intelligence and Systems
Robust 3D Head Tracking Using Camera Pose Estimation

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
An active model for facial feature tracking

EURASIP Journal on Applied Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work addresses the problem of human head pose estimation from single view images. 3D rigid head pose is estimated combining Active Appearance Models (AAM) with Pose from Orthography and Scaling with ITerations (POSIT). AAM shape landmarks are tracked over time and used in POSIT for pose estimation. A statistical anthropometric 3D model is used as reference. Several experiences were performed comparing our results with a planar ground truth. These experiments shows that orientations and distances were, on average, found within 2° or 1cm standard deviations respectively.