Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affective computing
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
International Journal of Computer Vision
The media equation: how people treat computers, television, and new media like real people and places
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Action Units for Facial Expression Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Robust Full-Motion Recovery of Head by Dynamic Templates and Re-Registration Techniques
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Evaluating the Modeling and Use of Emotion in Virtual Humans
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Matching 2.5D Face Scans to 3D Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Expressive face model-based tracking algorithm
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Face transfer with multilinear models
ACM SIGGRAPH 2006 Courses
Journal of Cognitive Neuroscience
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The ability to recognize, interpret and express emotions plays a key role in human communication. Current computer interfaces have become able to ”see”, thanks to advanced video sensors and video processing algorithms; however, until recently they could not plausibly ”guess” user intentions, because available feature extraction techniques could not provide the adequate level of service needed to support sophisticated interpretation capabilities. Our approach relies on a set of novel face and posture recognition techniques efficient and robust enough to be at the basis of a fully video-enabled intelligent pervasive workplace, capable of providing value added services based on the real time of facial and postural data. We propose to build on our current work in this area to create an infrastructure for lightweight facial and posture analysis allowing a variety of extended interactions between users and their work, market and entertainment environments.