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Virtual Light Transport Matrices for Non-Line-Of-Sight Imaging

Authors :
Marco, Julio
Jarabo, Adrian
Nam, Ji Hyun
Liu, Xiaochun
Cosculluela, Miguel Ángel
Velten, Andreas
Gutierrez, Diego
Source :
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 2440-2449
Publication Year :
2021

Abstract

The light transport matrix (LTM) is an instrumental tool in line-of-sight (LOS) imaging, describing how light interacts with the scene and enabling applications such as relighting or separation of illumination components. We introduce a framework to estimate the LTM of non-line-of-sight (NLOS) scenarios, coupling recent virtual forward light propagation models for NLOS imaging with the LOS light transport equation. We design computational projector-camera setups, and use these virtual imaging systems to estimate the transport matrix of hidden scenes. We introduce the specific illumination functions to compute the different elements of the matrix, overcoming the challenging wide-aperture conditions of NLOS setups. Our NLOS light transport matrix allows us to (re)illuminate specific locations of a hidden scene, and separate direct, first-order indirect, and higher-order indirect illumination of complex cluttered hidden scenes, similar to existing LOS techniques.<br />Comment: ICCV 2021 (Oral)

Details

Database :
arXiv
Journal :
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 2440-2449
Publication Type :
Report
Accession number :
edsarx.2103.12622
Document Type :
Working Paper