Jonathan Klein
University of Bonn
21 Papers
103 Citations
Jonathan Klein is an academic researcher from University of Bonn. The author has contributed to research in topics: Photon counting & Orientation (computer vision). The author has an hindex of 9, co-authored 19 publications. Previous affiliations of Jonathan Klein include Saint Louis University.
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Papers
Tracking objects outside the line of sight using 2D intensity images
TL;DR: In this article, an analysis-by-synthesis approach was proposed to track occluded objects in real time using a standard 2D camera and a laser pointer, by repeatedly simulating light transport through the scene and determining the set of object parameters that most closely fit the measured intensity distribution.
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Optically lightweight tracking of objects around a corner
TL;DR: This work demonstrates that occluded objects can be tracked in real time using much simpler means, namely a standard 2D camera and a laser pointer, and fundamentally differs from previous solutions by approaching the problem in an analysis-by-synthesis sense.
63
Material Classification Using Raw Time-of-Flight Measurements
Shuochen Su,Felix Heide,Robin Swanson,Jonathan Klein,Clara Callenberg,Matthias B. Hullin,Wolfgang Heidrich +6 more
- 27 Jun 2016
TL;DR: The effectiveness, robustness, and efficiency of the method, which offers an orthogonal domain of feature representation compared to conventional spatial and angular reflectance-based approaches, is demonstrated.
Dual-mode optical sensing: three-dimensional imaging and seeing around a corner
TL;DR: The authors evaluate the realization of dual-mode concepts with the aim of collecting all necessary information to enable both the direct three-dimensional imaging of a scene as well as the indirect sensing on hidden objects.
20
•Proceedings Article
A Quantitative Platform for Non-Line-of-Sight Imaging Problems
Jonathan Klein,Martin Laurenzis,Dominik L. Michels,Matthias B. Hullin +3 more
- 06 Sep 2018
TL;DR: A collection of reference data and quality metrics that are tailored to the most common use cases are introduced that will aid the development and assessment of future methods that aim to reconstruct scene properties from time-resolved optical impulse responses.
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