Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometry and topology for mesh generation
Geometry and topology for mesh generation
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Active Appearance Models Revisited
International Journal of Computer Vision
Robust 3D Head Tracking Using Camera Pose Estimation
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Robust Head Pose Estimation Using LGBP
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Robust head tracking using 3D ellipsoidal head model in particle filter
Pattern Recognition
Head Pose Estimation in Computer Vision: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward fully automated face pose estimation
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D facial pose tracking in uncalibrated videos
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Robust online appearance models for visual tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present a robust head pose estimation system that is capable of estimating the 3D pose of a human head in video sequences captured using a single camera. The proposed system is able to accurately estimate the 3D pose parameters even without the knowledge of camera parameters. The face is modelled using a parametrized face mask in 3D. SIFT is used to match consecutive image frames. We propose a novel interpolation technique that captures the 3D movement of feature points to estimate the 2D-3D correspondences between the 3D model and the face image. The pose is established using the POSIT algorithm in a RANSAC framework that fits a 3D deformable face model onto the given face image. We evaluate the performance of the proposed scheme on standard test datasets. The mean absolute errors of estimated pitch, yaw and roll are found comparable and in some cases better than the results reported in literature.