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[Lab image] Face Group
Heads: Takeo Kanade, Jeffrey Cohn, Fernando De la Torre Frade, Simon Lucey, Yanxi Liu, and Henry Schneiderman
Contact: Fernando De la Torre Frade (ftorre@cs.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC

Jump to: Lab Description | Personnel | Projects | Publications

Lab Description

We are conducting research on a variety of problems related to perception and understanding of human faces.

See the projects below for more details.

Also, see http://www.vasc.ri.cmu.edu/cgi-bin/demos/findface.cgi to detect faces in your own images.

Personnel [Past members]

Name Title Email Address
Zara Ambadar Postdoctoral Fellow, UPitt ambadar+@pitt.edu
Tsuhan's personal homepage Tsuhan Chen Professor, ECE (Adjunct) tsuhan@ece.cmu.edu
Jeffrey's personal homepage Jeffrey Cohn Adjunct Faculty (Adjunct) jeffcohn@cs.cmu.edu
Fernando's personal homepage Fernando De la Torre Frade Assistant Research Professor ftorre@cs.cmu.edu
David Duggins Program Manager/ARL CTA Project Manager duggins@ri.cmu.edu
Ralph's personal homepage Ralph Gross PhD Student, ISR rgross@cs.cmu.edu
Lie's personal homepage Lie Gu PhD Student, CS lgu@andrew.cmu.edu
Takeo's personal homepage Takeo Kanade U.A. and Helen Whitaker University Prof., RI/CS tk@cs.cmu.edu
Yanxi Liu Adjunct Associate Research Professor (Adjunct) yanxi@cs.cmu.edu
Simon's personal homepage Simon Lucey Assistant Research Professor slucey+@andrew.cmu.edu
Karen's personal homepage Karen Schmidt Assistant Professor, Psychiatry, UPitt kschmidt@pitt.edu
Rhiannon L. Weaver Masters Student, Statistics rlweaver@andrew.cmu.edu

Current Projects [Past Projects]

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 Recognition - Recognizing people from images and 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.
Quality of Life Technology Center - QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.
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.

Recent publications [View all 191 publications]

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