Computer Vision and Machine Perception

Computer Vision and Machine Perception

The University of Maryland has one of the oldest and largest research groups in computer vision in the US.  The Center for Automation Research (CFAR) was founded in 1964 by computer vision pioneer Azriel Rosenfeld, and CFAR still houses a large and thriving computer vision community, consisting of almost a dozen faculty and roughly fifty graduate students.  Research at UMD addresses every aspect of computer vision, featuring work in areas such as Face Recognition, Vision for Robotics, 3D Reconstruction, Image Segmentation, and Visual Classification.  Much of this work explores the use of Big Data and Deep Learning in Computer Vision.  The work at UMD is quite interdisciplinary, drawing students and faculty from CS, ECE and Applied Math, and forming close collaborations with other areas of computer science such as Human-Computer Interaction, Machine Learning, Computer Graphics, Augmented and Virtual Reality, Robotics, and Optimization.

Associated Faculty

Photo of John Aloimonos

John Aloimonos

Photo of Larry Davis

Larry Davis

Director of the Center for Automation Research (CfAR)
Photo of Ramani Duraiswami

Ramani Duraiswami

Associate Chair for Graduate Education
Photo of Roger Eastman

Roger Eastman

Professor of the Practice
Photo of Tom Goldstein

Tom Goldstein

Associate Professor
Perotto Chair of Machine Learning
Photo of David Jacobs

David Jacobs

Associate Chair of Graduate Education
Photo of Ming Lin

Ming Lin

Photo of Hanan Samet

Hanan Samet

Distinguished University Professor
Photo of Abhinav Shrivastava

Abhinav Shrivastava

Assistant Professor
Photo of Ramalingam Chellappa

Ramalingam Chellappa

Affiliate Professor
Minta Martin Professor of Engineering and Chair; Distinguished University Professor
Photo of Leila De Floriani

Leila De Floriani

Affiliate Professor