Laboratories - Dynamic Vision
Dynamic Vision Laboratory
211 Smith Hall, Professor Christopher Rasmussen.
We study problems at the juncture of computer vision and robotics. From following roads and cars in a robot race to creating models of buildings from handheld video to tracking people, we work on efficient algorithms for navigation, scene understanding, and interaction.
VIMS Vision Laboratory
212 Smith Hall, Professor Chandra Kambhametu.
VIMS (Video/Image Modeling and Synthesis) Lab encompasses research in areas related to computer vision and graphics. Our current research topics include camera systems, structure and motion recovery, stereo vision, facial image analysis, medical image analysis, object recognition and scene understanding, scientific visualization. Work done at VIMS explores solutions to challenging real-world problems such as Arctic ice motion and thickness studies, medical diagnosis and assistive robotics.
Graphics & Imaging Laboratory (GILab)
119 Elkton Road, Professor Jingyi Yu.
The 10 megapixel digital camera is not the be-all and end-all of image capture. Cameras that capture images in unusual ways and combinations of cameras can deliver useful display of three-dimensional (3D) information. Our laboratory focuses on designing new generations of cameras that can capture rich information as such. We also conduct research in a broad range of topics in computer graphics and vision, including real-time rendering, geometric modeling, computational imaging/photography and visual analytics.