Carnegie Mellon University
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Face Recognition
Head: Fernando De la Torre Frade
Contact: Fernando De la Torre Frade
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Associated lab(s) / group(s):
 Face Group
 Component Analysis
The appearance of people's faces changes drastically due to expression, pose, illumination, aging, and iconic changes (e.g. beard, glasses). The large variability in face appearance makes face recognition algorithms from images or video a challenging task. Moreover, typically only few training examples (e.g. one frontal face sample) per subject are available, are given making the classification task difficult. The aim of this project is to develop robust methods for face recognition across pose, expression and illumination.