Majumder, Sajadi receive paper award at IEEE Visualization
A paper entitled, "Markerless View-Independent Registration of Multiple Distorted Projectors on Extruded Surfaces Using an Uncalibrated Camera" by Computer Science professor Aditi Majumder and graduate student Behzad Sajadi has won the runner up in the Best Paper Award at the IEEE Visualization 2009 conference held in Atlantic City this month.
The paper presents the first algorithm to geometrically register multiple projectors in a view-independent manner on a common type of curved surface, vertically extruded surface, using an uncalibrated camera without attaching any obtrusive markers to the display screen. This simple markerless registration has the potential to have a large impact on easy set-up and maintenance of large curved multi-projector displays, common for visualization, edutainment, training and simulation applications.
IEEE Visualization is the premier annual forum for visualization advances for academia, government, and industry. This event brings together researchers and practitioners with a shared interest in visualization tools, techniques, and technology.
Majumder's research addresses how to produce a seamless image on a large-scale tiled display - an important problem to both the scientific and entertainment fields. She has developed a suite of mathematical models, methods and software to correct the geometric and color variations that arise when tiling multiple projection displays.