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The research at MIT is conducted in groups that focuses on a separate aspect of visual information technology, but not isolated from each other. The collaborative atmosphere involves both basic and application oriented research.

A key application of HDR imaging. Here, we display how IBL can be extended through the use of HDRv sequences.

Sound can be used to simplify understanding of a visual representation of research data, or to improve the outcome of an interaction between human and a machine. To use sound in this way is called sonification.

C-research is a center for coordination of visualization research and for using visualization in research and education. It represents Linköping University in the Visualization Center C context.

Everything you do generates data that can be visualized in a simple and fun way. This is what a new exhibition at Visualization Center C aims to convey.

Behnaz and her team created a prototype called 'Chameleon: Reality Editor,' which allows users to extract colors from real objects to seamlessly change virtual environments. The project won first prize in two different categories.

We develop novel analysis, visualization and exploration techniques for a better understanding and communication of large data.

The computer graphics and image processing group is driving a number of research projects directed towards the development of theory and methodology for image capture, image analysis and image synthesis.

Our research is about teaching and learning science with visualizations. We focus on biology and molecular sciences, and are interested in both learning with and design of visualizations.

We explore new ways for people to interact with data, technology, and digital materials in meaningful ways. Our research draws from a plurality of approaches and disciplines in order to understand and (re)shape our digital lives.