Publications
Super-Resolution Time-Resolved Imaging Using Computational Sensor Fusion
Clara Callenberg, Ashley Lyons, Dennis den Brok, Areeba Fatima, Alejandro Turpin, Vytautas Zickus, Laura M. Machesky, Jamie A. Whitelaw, Daniele Faccio, Matthias B. HullinScientific Reports (Nature Publishing Group) 11, 1689 (2021), https://doi.org/10.1038/s41598-021-81159-x, 2021.
Low-Cost SPAD Sensing for Non-Line-Of-Sight Tracking, Material Classification and Depth Imaging
Clara Callenberg, Zheng Shi, Felix Heide, Matthias B. HullinACM Transactions on Graphics 40 (4), Article 61 (Proc. SIGGRAPH 2021), 2021.
Non-Line-of-Sight Reconstruction using Efficient Transient Rendering
Julian Iseringhausen, Matthias B. HullinACM Transactions on Graphics 39 (1), 2020.
In this paper, we present an efficient renderer for three-bounce indirect transient light transport, and use it to reconstruct objects around corners to unprecedented accuracy.
Deep Non-Line-of-Sight Reconstruction
Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian IseringhausenProc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
The first deep-learning framework for reconstructing object shapes around a corner.
Neural network identification of people hidden from view with a single-pixel, single-photon detector
Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele FaccioScientific Reports (Nature Publishing Group), 8, 11945; doi: 10.1038/s41598-018-30390-0, 2018.
We demonstrate a machine learning approach that can locate and identify people from time-resolved single-pixel measurements.
Machine Learning Assisted Identification of People Hidden Behind a Corner
Piergiorgio Caramazza, Alessandro Boccolini, Gabriella Musarra, Matthias Hullin, Roderick Murray-Smith, Daniele FaccioComputational Optical Sensing and Imaging, 2017.
We demonstrate the use of machine learning to classify temporal histograms of the light-echoes backscattered from bodies hidden from view around a corner, captured by a SPAD camera.
Material Classification using Raw Time-of-Flight Measurements
Shuochen Su, Felix Heide, Robin Swanson, Jonathan Klein, Clara Callenberg, Matthias B. Hullin, Wolfgang HeidrichProc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
We show that using multi-frequency time-of-flight measurements, five different white materials can be distinguished on a per-pixel basis.
Doppler Time-of-Flight Imaging
Felix Heide, Wolfgang Heidrich, Matthias B. Hullin, Gordon WetzsteinACM Transactions on Graphics (Proc. SIGGRAPH), 34 (4), 2015.
A new computational imaging system that captures metric radial velocity information per pixel -- think of a huge array of traffic speed guns that use light instead of radar.
Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination using Inexpensive Time-of-Flight Sensors
Felix Heide, Lei Xiao, Wolfgang Heidrich and Matthias B. HullinProc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
How to look around a corner using echoes of light, using low-end devices that can't even properly measure such data.
Low-Budget Transient Imaging using Photonic Mixer Devices
Felix Heide*, Matthias B. Hullin*, James Gregson, Wolfgang Heidrich (* joint first authors)ACM Transactions on Graphics (Proc. SIGGRAPH), 32 (4), 2013.
A computational method for capturing videos of light in flight using consumer-grade imaging hardware.