Core Research Area in Computer Graphics
Computer Graphics aims to produce visually compelling images from geometric, lighting, and material models. It has broad applications in computer games, movie special effects, computer-aided designs, etc. Our groups conduct research on advanced geometric modeling, advanced rendering and salient visualization schemes for large scale data.
- Chandra Kambhamettu, Professor: Computer vision; Visualization, Computer graphics.
- Jingyi Yu, Associate Professor: Computational imaging; Rendering; Geometric modeling; Mobile computer vision; Surveillance; Image understanding for bioinformatics.
- CISC440/640 Computer Graphics
- CISC 829 Computational Geometry
- CISC 849 Computational Photography and Videos
- CISC 849 Rendering and Image synthesis
Laboratories - Computer Graphics
Graphics & Imaging Laboratory (GILab)
119 Elkton Road, Professor Jingyi Yu.
The 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.
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.