KAUST Research Workshop on Optimization and Big Data
Prof. Wolfgang Heidrich is the director of the Visual Computing Center at King Abdullah University of Science and Technology (KAUST). He is also affiliated with the University of British Columbia, where he held the Dolby Research Chair until 2013. Dr. Heidrich received his PhD in Computer Science from the University of Erlangen in 1999, and then worked as a Research Associate in the Computer Graphics Group of the Max-Planck-Institute for Computer Science in Saarbrucken, Germany, before joining UBC in 2000. Dr. Heidrich's research interests lie at the intersection of computer graphics, computer vision, imaging, and optics. In particular, he has worked on computational photography and displays, High Dynamic Range imaging and display, image-based modeling, measuring, and rendering, geometry acquisition, GPU-based rendering, and global illumination. Dr. Heidrich has written well over 150 refereed publications on these subjects and has served on numerous program committees. His work on High Dynamic Range Displays served as the basis for the technology behind Brightside Technologies, which was acquired by Dolby in 2007 Dr. Heidrich has served as the program co-chair for Graphics Hardware 2002, Graphics Interface 2004, the Eurographics Symposium on Rendering, 2006, and PROCAMS 2011. Dr. Heidrich is the recipient of a 2014 Humboldt Research Award.
Computational Imaging aims to develop new cameras and imaging modalities that optically encode information about the real world in such a way that it can be captured by image sensors. The resulting images represent detailed information such as scene geometry, motion of solids and liquids, multi-spectral information, or high contrast (high dynamic range), which can then be computationally decoded using inverse methods, machine learning, and numerical optimization. Computational Displays use a similar approach, but in reverse. Here, the goal is to computationally encode a target image that is then optically decoded by the display hardware for presentation to a human observer. Computational displays are capable of generating glasses-free 3D displays, high dynamic range imagery, or images and videos with spatial and/or temporal super-resolution. In this talk I will give an overview of recent advances and current challenges in rapidly expanding research area, with a specific emphasis on the utilization of optimization and big data methods.