Veranstalter: Graphics, Capture and Massively Parallel Computing
Referent: Prof. Dr. Wolfgang Heidrich (KAUST)
Computer vision are highly relevant for solving problems in scientific imaging, specifically fluid imaging and x-ray CT reconstruction. In the latter application,traditional tomographic imaging methods fall apart if the scan target undergoes deformation during the scan process. Such deformations may occur either involuntarily (e.g in the form of heat expansion as the CT system heats up), or deliberately to analyze dynamic processes instead of static objects. Successful space-time reconstructions therefore require joint solutions of the tomography inverse problem and motion stabilization. Similar challenges occur in the context of fluid imaging, where the desired outcome is not a volume density, but a velocity vector field with physical constraints such as incompressibility.
In this talk, I will highlight how both problems can be tackled with approaches developed in the computer vision community.
Wolfgang Heidrich joined King Abdullah University of Science and Technology in 2014 as the Director of the Visual Computing Center and a Professor of Computer Science. He is also a Professor (on leave) at the University of British Columbia. Dr. Heidrich received his PhD 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. Prof. Dr. Heidrich's research interests lies at the intersection of computer graphics, computer vision, imaging, and optics. His more recent interest is in computational imaging and display, focusing on hardware-software co-design of the next generation of imaging systems, with applications such as High-Dynamic Range imaging, compact computational cameras, hyperspectral cameras, to name just a few.