Much work in computational imaging has recently focused on deconvolution problems, which are a specific kind of inverse problem. In this presentation, I will talk about tomography, another form of inverse problem that has proven surprisingly versatile for describing a large range of problems in Visual Computing. I will demonstrate how tomographic methods can be used to solve problems ranging from the reconstruction of transparent objects over high dynamic range imaging to the design of 3D displays. I will also present recent results for practical light-in-flight (transient) imaging, a new imaging modality that, among many other uses, provides a host of new avenues for tomographic reconstruction problems.
Professor Wolfgang Heidrich holds the Dolby Research Chair in Computer Science at the University of British Columbia. He received a 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. Heidrich's research interests lie at the intersection of computer graphics, computer vision, imaging, and optics. In particular, he has worked on High Dynamic Range imaging and display, image-based modeling, measuring, and rendering, geometry acquisition, GPU-based rendering, and global illumination. Heidrich has written over 100 refereed publications on these subjects and has served on numerous program committees. He served as the program co-chair for Graphics Hardware 2002, Graphics Interface 2004, the Eurographics Symposium on Rendering 2006, and PROCAMS 2010.
Tomographic Methods for Imaging and Display
Wolfgang Heidrich (University of British Columbia, Vancouver)
Do. 05.09.2013, 13:00 c.t. , G29-R335