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.
14:00 - 14:30