research

TeV's research contributes to the mission of the Digital Industry Center, in that it carries out projects in various digital industry fields, investigating specific areas to achieve scientific results and developing new competencies. Basic research in computer vision helps expand existing knowledge and creates a foundation for solving future problems. Cutting-edge topics of Computer Vision have various names, but its ultimate goal is always the description of visual inputs:

In 1966, the AI pioneer Prof. Marvin Minsky hired a first-year undergraduate student, Gerald Sussman, and assigned him a problem to solve over the summer: “Connect a camera to a computer and get the machine to describe what it sees.” That summer, for our scientific community, is still going on. Relaxing more and more the assumptions about the knowledge of the world and the constrains on devices, leads us and the whole Computer Vision community in the study of algorithms to solve the task set by Minsky, to describe a (dynamic) scene geometrically starting from images or videos freely acquired by several cameras, possible moving in space, and depicting many objects in motion.

Fortunately, some specific problems attached with Computer Vision do not require the global description of a scene, but their solution benefits from the development and application of specific methods, techniques and technologies. What is the difference between a method and a trick? «A method is a trick that you use twice» said the mathematician George Pólya. We are currently working on several research tasks, some of which are grouped under the following topics, thus continuously enriching our knowledge, experience and methods toolbox.