Receiving and Giving: Computer Graphics at the Interface of Disciplines - PDLS Talk by Matthias Hullin, UBC/CS

Date
Location

DMP 110, 6245 Agronomy Rd.

***Please Note:  This talk has been cancelled***

Speaker:  Matthias Hullin, Postdoctoral Research Fellow, UBC Computer Science

https://www.cs.ubc.ca/~hullin/

Title:  Receiving and Giving: Computer Graphics at the Interface of Disciplines

Abstract:  Computer graphics research takes place at the intersection of many
established scientific disciplines. Traditionally, graphics would
mostly harvest from other fields, for the purpose of generating
imagery that is close to a physical prediction, or at least visually
pleasing. More recently, however, a trend in the opposite direction
has emerged. Not only have graphics applications (above all, games)
been the driving force behind the development of ever more powerful
general-purpose compute hardware. Since its establishment as an
independent research area, computer graphics has also gathered
substantial amounts of original knowledge and a vast toolbox of
techniques and methods that other research fields can benefit from.
For example, many challenging inverse problems can be efficiently
solved when high-performance forward predictions (i.e., rendering) are
available.

In this talk, I will outline some of our recent research projects, and
position them with respect to the role of graphics as recipient vs.
donor of insight and methodology. The topics range from old-school
rendering, 3D scanning, reflectance acquisition and display,
computational photography and time-of-flight imaging to the 3D capture
of mixing fluids.

Bio:  Matthias is a post-doctoral fellow at the Imager Lab, under the
supervision of Wolfgang Heidrich. Prior to joining UBC, he completed
his Ph.D. at the Max Planck Institute for Computer Science and
Saarland University, Germany, in 2010, with a thesis on geometry and
appearance acquisition that was awarded the Otto Hahn Medal by the Max
Planck Society. His areas of interest are applications within graphics
and beyond that can profit from improved models of light transport.