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Face Group
Head: Takeo Kanade, Jeffrey Cohn, Fernando De la Torre Frade, Simon Lucey, Yanxi Liu, and Henry Schneiderman
Contact: Fernando De la Torre Frade
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Current Projects [Past Projects]
 
3D Head Motion Recovery in Real Time
A cylindrical model-based algorithm recovers the full motion (3D rotations and 3D translations) of the head in real time.
Cohn-Kanade AU-Coded Facial Expression Database
An AU-coded database of over 2000 video sequences of over 200 subjects displaying various facial expressions.
Deception Detection
Learning facial indicators of deception
Depression Assessment
This project aims to compute quantitative behavioral measures related to depression severity from facial expression, body gestures, and vocal prosody in clinical interviews.
Face Detection
We are developing computer methods to automatically locate human faces in photos and video.
Face Detection Databases
A collection of databases for training and testing face detectors.
Face Recognition
Recognizing people from images and videos.
Face Recognition Across Illumination
Recognizing people from faces: video and still iamges.
Face Recognition Across Pose
Recognizing people from different poses.
Face Video Hallucination
A learning-based approach to super-resolve human face videos.
Facial Expression Analysis
Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for the applications of MPEG4 application: teleconferencing, human-computer interaction/interface.
Facial Feature Detection
Detecting facial features in images.
Generic Active Appearance Models
We are pursuing techniques for non-rigid face alignment based on Constrained Local Models (CLMs) that exhibit superior generic performance over conventional AAMs.
Image Enhancement for Faces
Video enhancement techniques, specifically tailored for human faces.
Learning Optimal Representations
Learning optimal representations for classification, image alignment, visualization and clustering.
Low Dimensional Embeddings
Finding low dimensional embeddings of signals optimal for modeling, classification, visualization and clustering.
Object Recognition Using Statistical Modeling
Automobile and human face detection via statistical modeling.
Spatio-Temporal Facial Expression Segmentation
A two-step approach temporally segment facial gestures from video sequences. It can register the rigid and non-rigid motion of the face.