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dc.contributor.authorLa Manna, Marco
dc.contributor.authorKine, Fiona
dc.contributor.authorBreitbach, Eric
dc.contributor.authorJackson, Jonathan
dc.contributor.authorVelten, Andreas
dc.description.abstractRecent 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.en
dc.relation.ispartofseriestechnical report;TR1850
dc.subjectAlgebraic Reconstruction Techniques (ART)en
dc.subjectKaczmarcz methoden
dc.subjectNon-Line-of-Sight Imagingen
dc.titleError Backprojection Algorithms for Non-Line-of-Sight Imagingen
dc.typeTechnical Reporten

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  • CS Technical Reports
    Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison

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