Current project
3D Reconstruction of a Moving Point from a Series of 2D Projections
This project presents a linear solution for reconstructing the 3D trajectory of a moving point from its correspondence in a collection of 2D perspective images, given the 3D spatial pose and time of capture of the cameras that produced each image.
This project aims to compute quantitative behavioral measures related to depression severity from facial expression, body gesture, and vocal prosody in clinical interviews.
Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring)
Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for diverse applications: teleconferencing, human-computer interaction/interface.
Temporal Alignment of Human Behavior
Temporal Segmentation of Human Behavior