IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adjusting Shape Parameters Using Model-Based Optical Flow Residuals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Structure from Motion Causally Integrated Over Time
IEEE Transactions on Pattern Analysis and Machine Intelligence
LAFTER: Lips and Face Real-Time Tracker
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Parametrized structure from motion for 3D adaptive feedback tracking of faces
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Motion Regularization for Model-Based Head Tracking
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
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
Adaptive view-based appearance models
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Explorations in engagement for humans and robots
Artificial Intelligence
Recognizing gaze aversion gestures in embodied conversational discourse
Proceedings of the 8th international conference on Multimodal interfaces
EM enhancement of 3D head pose estimated by point at infinity
Image and Vision Computing
A two-stage head pose estimation framework and evaluation
Pattern Recognition
Head Pose Estimation from Passive Stereo Images
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Explorations in engagement for humans and robots
Artificial Intelligence
Learning of shared attention in sociable robotics
Journal of Algorithms
3D head pose estimation and tracking using particle filtering and ICP algorithm
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Head pose estimation using stereo vision for human-robot interaction
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Real time head pose estimation from consumer depth cameras
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
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
An automated facial pose estimation using surface curvature and tetrahedral structure of a nose
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Robust pose estimation of face using genetic algorithm
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Modelling Shared Attention Through Relational Reinforcement Learning
Journal of Intelligent and Robotic Systems
Depth-based real time head pose tracking using 3D template matching
SIGGRAPH Asia 2012 Technical Briefs
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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In this paper we present a method for estimating the absolutepose of a rigid object based on intensity and depth view-basedeigenspaces, built across multiple views of exampleobjects of the same class. Given an initial frame of an objectwith unknown pose, we reconstruct a prior model for allviews represented in the eigenspaces. For each new frame,we compute the pose-changes between every view of thereconstructed prior model and the new frame. The resultingpose-changes are then combined and used in a Kalmanfilter update. This approach for pose estimation is user-independentand the prior model can be initialized automaticallyfrom any view point of the view-based eigenspaces.To track more robustly over time, we present an extensionof this pose estimation technique where we integrate ourprior model approach with an adaptive differential tracker.We demonstrate the accuracy of our approach on face posetracking using stereo cameras.