Project Details
Program
Computer Science
Field of Study
Computer Science, Electrical or Optical Engineering
Division
Computer, Electrical and Mathematical Sciences and Engineering
Faculty Lab Link
Center Affiliation
Visual Computing Center
Project Description
Computational cameras are imaging systems that are combinations of optics, electronics, and algorithms that jointly enable new approaches to image sensing. Computational imaging systems are of interest for applications such as polarization imaging, hyperspectral cameras, time-of-flight and depth imaging, light fields, high speed cameras, or cameras with small and exotic form factors. The internship will be to learn about computational imaging approaches, and work in an interdisciplinary team to develop new camera systems in one of the application domains.
About the Researcher
Wolfgang Heidrich
Professor, Computer Science
Affiliations
Education Profile
- Ph.D., University of Erlangen, 1999
- M.Math, University of Waterloo, 1996Diploma in Computer Science, University of Erlangen, 1995
Research Interests
Professor Heidrich's core research interests are in computational photography and display, an emerging research area within visual computing, which combines methods from computer graphics, machine vision, imaging, inverse methods, optics and perception to develop new sensing and display technologies. Computational photography 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.Selected Publications
- Low-budget Transient Imaging using Photonic Mixer Devices F. Heide, M. Hullin, J. Gregson, W. Heidrich ACM Transactions on Graphics (Proc. Siggaraph), 32(3):9 pages, July 2013
- Adaptive Image Synthesis for Compressive Displays F. Heide, G. Wetzstein, R. Raskar, W. Heidrich ACM Transactions on Graphics (Proc. Siggaraph), 2013
- High-Quality Computational Imaging Through Simple Lenses F. Heide, M. Rouf, M. Hullin, B. Labitzke, W. Heidrich, A. Kolb ACM Transactions on Graphics, 32:10 pages, 2013
- Stochastic Tomography and its Applications in 3D Imaging of Mixing Fluids J. Gregson, M. Krimerman, M. Hullin, W. Heidrich ACM Transactions on Graphics (Proc. SIGGRAPH), 31(3):52:1a-52:10, August 2012
- Layered 3D: Tomographic Image Synthesis for Attenuation-based Light Field and High Dynamic Range Displays G.Wetzstein, D. Lanman,W. Heidrich, R. Raskar ACM Transactions on Graphics (Proc. SIGGRAPH), 30(3):95:1a-95:12, August 2011
- HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions R. Mantiuk, K. Kim, A. Rempel,W. Heidrich ACM Transactions on Graphics (Proc. SIGGRAPH), 30(3):40:1a-40:14, August 2011
Desired Project Deliverables
Depending on the background of the student, the work can be more optics oriented or more software oriented. Close collaboration with other team members is expected. Possibility for co-authoring a scientific article in a conference or journal.