The nature of statistical learning theory
The nature of statistical learning theory
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Discriminant Analysis of Principal Components for Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Estimating the Support of a High-Dimensional Distribution
Neural Computation
A two-stage head pose estimation framework and evaluation
Pattern Recognition
Person-independent head pose estimation using biased manifold embedding
EURASIP Journal on Advances in Signal Processing
Learning a Person-Independent Representation for Precise 3D Pose Estimation
Multimodal Technologies for Perception of Humans
Head Pose Estimation Based on Tensor Factorization
Neural Information Processing
Monitoring visual focus of attention via local discriminant projection
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Locating nose-tips and estimating head poses in images by tensorposes
IEEE Transactions on Circuits and Systems for Video Technology
Synchronized submanifold embedding for person-independent pose estimation and beyond
IEEE Transactions on Image Processing
Phase space for face pose estimation
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Head pose estimation using simple local gabor binary pattern
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Coarse head pose estimation of construction equipment operators to formulate dynamic blind spots
Advanced Engineering Informatics
An integrated two-stage framework for robust head pose estimation
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Depth-based real time head pose tracking using 3D template matching
SIGGRAPH Asia 2012 Technical Briefs
Random Forests for Real Time 3D Face Analysis
International Journal of Computer Vision
Head pose estimation via background removal
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Statistical framework for facial pose classification
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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In this paper, we proposed a new learning strategy for head poseestimation. Our approach uses nonlinear interpolation to estimatethe head pose using the learning result from face images of twohead poses. Advantage of our method to regression method is that itonly requires training images of two head poses and bettergeneralization ability. It outperforms existed methods, such asregression and multi-classclassification method, on both synthesisand real face images. Average head pose estimation error of yawrotation is about 4°, which proves that our method is effectivein head pose estimation.