Real time head pose estimation from consumer depth cameras
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
The florence 2D/3D hybrid face dataset
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
Real-time head pose estimation using random regression forests
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Foundations and Trends® in Computer Graphics and Vision
Orthogonal discriminant vector for face recognition across pose
Pattern Recognition
An introduction to random forests for multi-class object detection
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
No bias left behind: covariate shift adaptation for discriminative 3d pose estimation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Depth-based real time head pose tracking using 3D template matching
SIGGRAPH Asia 2012 Technical Briefs
Unconventional approaches for facial animation and tracking
SIGGRAPH Asia 2012 Technical Briefs
3D aided face recognition across pose variations
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Random Forests for Real Time 3D Face Analysis
International Journal of Computer Vision
3D facial landmark localization via a local surface descriptor HoSNI
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Local context priors for object proposal generation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Face parts localization using structured-output regression forests
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Second screen interaction: an approach to infer tv watcher's interest using 3d head pose estimation
Proceedings of the 22nd international conference on World Wide Web companion
Head direction estimation from low resolution images with scene adaptation
Computer Vision and Image Understanding
A central profile-based 3D face pose estimation
Pattern Recognition
Eye pupil localization with an ensemble of randomized trees
Pattern Recognition
Dynamic random regression forests for real-time head pose estimation
Machine Vision and Applications
3D Active Appearance Model alignment using intensity and range data
Robotics and Autonomous Systems
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Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation from depth data, which can be captured using the ever more affordable 3D sensing technologies available today. To achieve robustness, we formulate pose estimation as a regression problem. While detecting specific face parts like the nose is sensitive to occlusions, learning the regression on rather generic surface patches requires enormous amount of training data in order to achieve accurate estimates. We propose to use random regression forests for the task at hand, given their capability to handle large training datasets. Moreover, we synthesize a great amount of annotated training data using a statistical model of the human face. In our experiments, we show that our approach can handle real data presenting large pose changes, partial occlusions, and facial expressions, even though it is trained only on synthetic neutral face data. We have thoroughly evaluated our system on a publicly available database on which we achieve state-of-the-art performance without having to resort to the graphics card.