Virtual light transport matrices for non-line-of-sight imaging
Julio Marco, Adrián Jarabo, Ji Hyun Nam, Xiaochun Liu, Miguel Ángel Cosculluela, Andreas Velten, Diego Gutierrez
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.
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Cited by top-tier papers3
- Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third BounceDiego Royo, Talha Sultan, Adolfo Muñoz, Khadijeh Masumnia-Bisheh et al.SIGGRAPH 2023 · 20 citations
- Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention MechanismsYanhua Yu, Siyuan Shen, Zi Wang, Binbin Huang et al.ICCV 2023 · 19 citations
- Megahertz Light Steering Without Moving PartsAdithya Pediredla, Srinivasa G. Narasimhan, Maysamreza Chamanzar, Ioannis GkioulekasCVPR 2023
Builds on2
- Convolutional Approximations to the General Non-Line-of-Sight Imaging OperatorByeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas et al.ICCV 2019 · 67 citations
- Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone TransformSean I. Young, David B. Lindell, Bernd Girod, David Taubman et al.CVPR 2020
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