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Facial Feature Detection
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
Overview
Automatic facial feature localization has been a difficult problem in the field of computer vision for several years. This can be explained by the large variation a face can have in a scene due to factors such as facial position, expression, pose, aging, illumination, occlusions and background clutter. The aim of this project is to explore robust methods to detect facial features in face images.

The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
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