Vision and Graphics Research

Vision and graphics are synergistic research areas concerned with the analysis and synthesis of visual information, and play an increasingly important role in all areas of computer science. Rutgers has developed significant strength in this area. Please refer to the web pages of individual faculty members and labs for additional information.

People

• Doug DeCarlo: Computer graphics, artistic and non-photorealistic rendering, shape analysis, conversational animation.
• Ahmed Elgammal: Visual Learning, human motion analysis, tracking, computer vision, image and video processing, image and video databases, machine learning, neural modeling.
• Dimitris N. Metaxas: Computer vision, dynamic object tracking and recognition, statistical modeling, control methods for animation and haptic interaction.
• Andrew Nealen: Computer graphics, geometric modeling, physically-based modeling, video game design.
• Vladimir Pavlovic: Applied machine learning and probabilistic inference, bioinformatics, computer vision, and human-computer interaction.

Affiliated Faculty Members

• Matthew Stone: Human-computer dialogue and dialogue systems.

Research Groups

• CBIM, Center for BioImaging and Modeling: Conduct novel research in the areas of Computational Biomedicine, Computer Vision, and Computer Graphics. Projects include developing a lifelike computer model of the human heart, computer vision algorithms for security, and modeling of fluid phenomena such as smoke and water.
  
• VILLAGE, Vision, Interaction, Language, Logic, And Graphics Environment:  An interdisciplinary lab located in RuCCS, where computer systems are given a more active role in interpreting the environment around them and the actions and intentions of their users.