The ICCV Workshop on Data-Driven BxDF Models for Computer Vision Applications is organized by a handful of international researchers with a strong background in appearance capture and modeling, computer vision, and the overlaps thereof. The organizers will in the following be listed, accompanied with a short biography.

Henrik Aanæs

is an Associate Professor at the Technical University of Denmark. His primary research interests are concerned with 3D estimation from images (and other optical methods such as time of flight and optical scanners). Here 3D is understood broadly as camera motion as well as 3D geometry. Currently, understanding how non-trivial surface reflectance affects 3D estimation has his focus, however, he has also worked with — and has interests in — most areas of image analysis and computer vision. (

Jannik Boll Nielsen

is a Postdoc at the Technical University of Denmark. His research area of interest concerns modeling of bidirectional material reflectance (BRDFs) and especially practical measurement thereof. Current research involves fusing geometry and radiometry acquisition pipelines for full appearance digitalization. (

Jonas Unger

is an Associate Professor at Linköping University. His research interests lie at the intersection of computer graphics/vision and image processing with applications in e.g. high dynamic range (HDR) imaging, light field imaging, tone mapping, appearance capture, material modeling, photo-realistic image synthesis, and medical/scientific visualization of volumetric 3D data. (

Hendrik Lensch

is a Professor at Eberhard Karls Universität Tübingen leading the Computer Graphics group in the Department of Computer Science. His research covers realistic object acquisition and display, computational photography, 3D image analysis, and massively parallel programming. (

Jeppe Revall Frisvad

is an Associate Professor at the Technical University of Denmark. His research interests
are mainly material appearance modeling, realistic rendering, and light scattering. He also does research in general to find faster and better physically based methods for realistic image synthesis (rendering). (