Real-time face pose estimation
Real-Time Imaging - Special issue on real-time visual monitoring and inspection
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating facial pose using shape-from-shading
Pattern Recognition Letters
Tracking non-rigid, moving objects based on color cluster flow
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Pose classification of human faces by weighting mask function approach
Pattern Recognition Letters
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Comparative Study of Coarse Head Pose Estimation
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Face Pose Discrimination Using Support Vector Machines (SVM)
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Head Pose Estimation Using View Based Eigenspaces
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of human head orientation based on artificial neural networks
IEEE Transactions on Neural Networks
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Head pose estimation is an important area of investigation for understanding human dynamics. Appearance-based methods are one of the popular solutions to this problem. In this paper we present a novel approach using vector quantization that adds spatial information to the feature set. We compare this with raw, Gabor filtered and Wavelet features using the Carnegie Mellon PIE database. Our approach shows increased performance over the other methods.