Carnegie Mellon University
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Component Analysis
Head: Fernando De la Torre Frade
Contact: Fernando De la Torre Frade
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Lab Homepage
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 Recognition
Recognizing people from images and videos.
Face Recognition Across Pose
Recognizing people from different poses.
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.
Feature Selection
Feature selection in component analysis.
Forecasting the Anterior Cruciate Ligament Rupture Patterns
Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.
Hot Flash Detection
Machine learning algorithms to detect hot flashes in women using physiological measures.
Indoor People Localization
Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.
Multimodal Diaries
Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring)
Unification of Component Analysis
This project aims to find the fundamental set of equations that unifies all component analysis methods.