Real-time face pose estimation
Real-Time Imaging - Special issue on real-time visual monitoring and inspection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multilinear Analysis of Image Ensembles: TensorFaces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
3-D Facial Pose and Gaze Point Estimation Using a Robust Real-Time Tracking Paradigm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Detecting Head Pose from Stereo Image Sequence for Active Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Face Pose Discrimination Using Support Vector Machines (SVM)
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Head Pose Estimation using Fisher Manifold Learning
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Head Pose Estimation by Nonlinear Manifold Learning
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Multi-View Head Pose Estimation using Neural Networks
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Bilinear Sparse Coding for Invariant Vision
Neural Computation
Robust Head Pose Estimation Using LGBP
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Estimating face pose by facial asymmetry and geometry
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Learning multiview face subspaces and facial pose estimation using independent component analysis
IEEE Transactions on Image Processing
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
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This paper investigates head pose estimation problem which is considered as front-end preprocessing for improving multi-view human face recognition. We propose a computational model for perceiving head poses based on the Non-negative Multi-way Factorization (NMWF). The model consists of three components: the tensor representation for multi-view faces, feature selection and head pose perception. To find the facial representation basis, the NMWF algorithm is applied to the training data of facial images. The face tensor includes three factors of facial images, poses, and people. The former two factors are used to construct the computational model for pose estimation. The discriminative measure for perceiving the head pose is defined by the similarity between tensor basis and the representation of testing facial image which is projection of faces on the subspace spanned by the basis "TensorFaces". Computer simulation results show that the proposed model achieved satisfactory accuracy for estimating head poses of facial images in the CAS-PEAL face database.