Technical Papers
Computational Light Capture
Monday, 22 July 3:45 PM - 5:35 PM
Session Chair: Kari Pulli, NVIDIA Research
Femto-Photography - Capturing and Visualizing the Propagation of Light
An ultrafast imaging technique to overcome the challenges of capturing and visualizing light in motion. The challenges include: impractical SNR of picosecond exposure times, limited FOV of the one-dimensional sensor, comprehensible visualization of light scattering, and undistorting intriguing space-time warps.
Andreas Velten
MIT Media Lab
Di Wu
MIT Media Lab
Adrian Jarabo
Universidad de Zaragoza
Belen Masia
Universidad de Zaragoza, MIT Media Lab
Christopher Barsi
MIT Media Lab
Chinmaya Joshi
MIT Media Lab
Everett Lawson
MIT Media Lab
Moungi Bawendi
Massachusetts Institute of Technology
Diego Gutierrez
Universidad de Zaragoza
Ramesh Raskar
MIT Media Lab
Low-Budget Transient Imaging Using Photonic Mixer Devices
Commercial time-of-flight sensors based on photonic mixer devices (PDMs), are used to capture transient images of photons in-flight. Through the use of readily available components, the setup is orders of magnitude less expensive than previous approaches, while simultaneously simplifying and speeding up the capture process.
Felix Heide
The University of British Columbia
Matthias Hullin
The University of British Columbia
James Gregson
The University of British Columbia
Wolfgang Heidrich
The University of British Columbia
High-Quality Computational Imaging Through Simple Lenses
This work seeks to replace complex, commercial optics by uncompensated, simple optics and proposes a post‐capture image‐processing method that removes the optical aberrations that result from using such simple optics.
Felix Heide
The University of British Columbia
Mushfiqur Rouf
The University of British Columbia
Matthias Hullin
The University of British Columbia
Björn Labitzke
University of Siegen
Wolfgang Heidrich
The University of British Columbia
Compressive Light-Field Photography Using Overcomplete Dictionaries and Optimized Projections
This paper explores compressive light-field photography and evaluates optical and computational design parameters. Three key insights are discussed: light-field atoms sparsely represent natural light fields, optical designs can be optimized for capturing 2D light-field projections, and robust sparse reconstruction methods allow for single-shot light-field recovery.
Kshitij Marwah
MIT Media Lab
Gordon Wetzstein
MIT Media Lab
Yosuke Bando
Toshiba Corporation, MIT Media Lab
Ramesh Raskar
MIT Media Lab
A Reconfigurable Camera Add-On for High-Dynamic-Range, Multi-Spectral, Polarization, and Light-Field Imaging
An optical design for a camera add-on that can be configured to enable acquisition of different plenoptic dimensions without permanently changing the camera.
Alkhazur Manakov
Universität des Saarlandes, Max-Planck-Institut für Informatik
John Restrepo
Universität des Saarlandes
Oliver Klehm
Max-Planck-Institut für Informatik
Ramon Hegedus
Max-Planck-Institut für Informatik
Elmar Eisemann
TU Delft
Hans-Peter Seidel
Max-Planck-Institut für Informatik
Ivo Ihrke
Universität des Saarlandes, Max-Planck-Institut für Informatik