Error Backprojection Algorithms for Non-Line-of-Sight Imaging
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Date
2017-10-18Author
La Manna, Marco
Kine, Fiona
Breitbach, Eric
Jackson, Jonathan
Velten, Andreas
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Show full item recordAbstract
Recent advances in computer vision and inverse light transport theory have resulted in several non-line-of-sight imaging techniques. These techniques use photon time-of-flight information encoded in light after multiple, diffuse reflections to reconstruct a three-dimensional scene. In this paper, we propose and describe two iterative backprojection algorithms, the additive error backprojection (AEB) and multiplicative error backprojection (MEB), whose goal is to improve the reconstruction of the scene under investigation over non-iterative backprojection algorithms. We evaluate the proposed algorithms’ performance applied to simulated and real data (gathered from an experimental setup where the system needs to reconstruct an unknown scene). Results show that the proposed iterative algorithms are able to provide better reconstruction than the unfiltered, non-iterative backprojection algorithm for
both simulated and physical scenes, however are more sensitive to errors in the light transport model.
Subject
Algebraic Reconstruction Techniques (ART)
Time-of-Flight
Seeing-around-corners
Kaczmarcz method
Non-Line-of-Sight Imaging