Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Tracking Facial Feature Points with Gabor Wavelets and Shape Models
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Graph Embedded Analysis for Head Pose Estimation
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Accurate Head Pose Tracking in Low Resolution Video
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Tracking Facial Feature Points with Statistical Models and Gabor Wavelet
MICAI '06 Proceedings of the Fifth Mexican International Conference on Artificial Intelligence
Constrained Phase---Based Personalized Facial Feature Tracking
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Head Pose Estimation in Computer Vision: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating face pose by facial asymmetry and geometry
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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In this article, we propose an approach to infer the 3d head pose from a monocular video sequence. First, we employ a Gabor-Phase based displacement estimation technique to track face features (two inner eye corners, two wings, tip and root of the nose). The proposed method is based on the iterative Lowe's pose estimation technique using the six tracked image facial points and their corresponding absolute location in a 3d face model. As any iterative technique, the estimation process needs a good initial approximate solution that is found from orthography and scaling. With this method, the pose parameters are accurately obtained as continuous angular measurements rather than expressed in a few discrete orientations. Experimental results showed that under the assumption of a reasonable accuracy of facial features location, the method yields very satisfactory results.