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
摘要
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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- Convolutional Approximations to the General Non-Line-of-Sight Imaging OperatorByeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas 等ICCV 2019 · 被引用 67 次
- Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone TransformSean I. Young, David B. Lindell, Bernd Girod, David Taubman 等CVPR 2020
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