GVI Group  Harvard University

In computer vision, we seek to build systems that can visually understand and interact with their environment. Motivated by this goal, I think about roughly three different things: developing methods to acquire meaningful information from visual data; finding efficient representations for this information; and applying these representations to a variety of visual tasks.

Current focus areas include shape and appearance capture, color image processing, human perception of colors and glossy shapes, reflectance and illumination modeling, physics-based approaches to scene understanding, face recognition, and socially-aware vision systems.

I'm in the process of updating this site with content from my personal page. If you are looking for something in particular, you may have more luck there.