Invited SpeakersProfile Details

ROLAND RUITERS Research Engineer at Autodesk


​Roland Ruiters studied computer science at the University Bonn, where he received his diploma degree in 2007. After this, he joined the computer graphics working group at the same university. His research there focused on material and 3D acquisition, BTF compression, as well as texture and material editing. He received his PhD from the University Bonn in 2013. Afterwards, he joined the startup company TeamUp to work on a browser-based visualization and modeling platform called Lagoa.

When TeamUp was acquired in 2014 by Autodesk, he joined Autodesk as a Research Engineer.

All sessions by ROLAND RUITERS

  • Day 2Tuesday, April 11th
2:00 pm

Data-Driven Interpolation of Optical Material Properties

Data-driven material representations enable the faithful reproduction of real world material on novel geometries and under arbitrary viewing and lighting conditions in synthetic images. One such representation is the Bidirectional Texture Function (BTF), which can be acquired from a material sample via a measurement process that takes a large number of images from multiple view points and under multiple illumination directions. This type of representation is well suited to accurately reproduce a given material sample, but editing a measured material or even designing a new one based on multiple measurements is a difficult task for an artist. This is due to the high complexity and size of the data-set and the necessity to edit all views in a consistent way. One editing paradigm that can be used for this is interpolation, which enables the creation of a novel material that lies perceptually in between several measured samples. This talk will describe a texture-synthesis based interpolation technique that can be used to create believable interpolated materials and also continuous interpolation sequences. It can be used even for materials with complex feature topology, spatially varying reflectance behavior and a meso-structure causing strong parallaxes in the measured images.

KAUST 14:00 - 14:30 Details