Super-Resolution Time-Resolved Imaging Using Computational Sensor FusionClara Callenberg, Ashley Lyons, Dennis den Brok, Areeba Fatima, Alejandro Turpin, Vytautas Zickus, Laura M. Machesky, Jamie A. Whitelaw, Daniele Faccio, Matthias B. Hullin
Scientific 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 ImagingClara Callenberg, Zheng Shi, Felix Heide, Matthias B. Hullin
ACM Transactions on Graphics 40 (4), Article 61 (Proc. SIGGRAPH 2021), 2021.
Non-Line-of-Sight Reconstruction using Efficient Transient RenderingJulian Iseringhausen, Matthias B. Hullin
ACM 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 ReconstructionJavier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen
Proc. 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 detectorPiergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio
Scientific 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 CornerPiergiorgio Caramazza, Alessandro Boccolini, Gabriella Musarra, Matthias Hullin, Roderick Murray-Smith, Daniele Faccio
Computational 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 MeasurementsShuochen Su, Felix Heide, Robin Swanson, Jonathan Klein, Clara Callenberg, Matthias B. Hullin, Wolfgang Heidrich
Proc. 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 ImagingFelix Heide, Wolfgang Heidrich, Matthias B. Hullin, Gordon Wetzstein
ACM 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 SensorsFelix Heide, Lei Xiao, Wolfgang Heidrich and Matthias B. Hullin
Proc. 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 DevicesFelix 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.