Computational Face Group
The
Computational Face Group is part of the Machine
Perception Lab at the Institute for Neural Computation at UCSD. This group performs computational
analysis of face images for the development of computer vision systems and to
model face perception in biological vision through the study of natural image
statistics. A major focus of our research is the development of automatic
facial expression recognition systems. We have developed an end-to-end system
for automatic recognition of a set of basic expressions that works in
real-time. We have also made substantial progress toward fully automating the
facial action coding system, a comprehensive facial expression description
system developed by Paul Ekman and Wallace Friesen. For a summary of our recent
work in this area, see the following review chapter in Giese, Curio, and BulthoffÕs
book on Dynamic Faces. Another focus of our research explores models of
unsupervised learning and their application to face processing. For example,
principles of information maximization which have been associated with neural
coding in early vision, also relate to findings in human face perception, such
as other-race effects, face adaptation aftereffects, and perceptual effects
relating to typicality. These ideas are reviewed in a Neurocomputing 2007 paper.
People Director Collaborators Postdocs Graduate Students Paul Ruvolo Alex Ahmed Undergraduates Karmen Dykstra Dave Deriso Anthony Orona Technical Luis Palacios Fund Manager Kimberly Shintaku |
Projects |
Alumni
Esra Vural (now at
Clarkson University)
Claudia Lianscsek
(now at Salk)
Dirk Beer (with Don Macleod. Now
at Pacific Science and Engineering, San Diego.)
Micah Eckhardt (now at MIT Media
Lab graduate program)
Bret Fortenberry (now at Boston
University graduate program)
Evan Smith (completed CMU
graduate program, CNBC, now at Redwood Center for Theoretical Neuroscience)
Gianluca Donato (visting student
from U. Padova, Italy. Now at Digital Persona, Redwood, CA.)
Andrew Salamon, Scientific Programmer