87707 20210318091408.0 doi 10.1038/s41586-019-1461-3 sideral 112586 ART-2019-112586 eng Liu, Xiaochun Non line of sight imaging using phasor field virtual wave optics 2019 Access copy available to the general public Unrestricted Non-line-of-sight imaging allows objects to be observed when partially or fully occluded from direct view, by analysing indirect diffuse reflections off a secondary relay surface. Despite many potential applications1,2,3,4,5,6,7,8,9, existing methods lack practical usability because of limitations including the assumption of single scattering only, ideal diffuse reflectance and lack of occlusions within the hidden scene. By contrast, line-of-sight imaging systems do not impose any assumptions about the imaged scene, despite relying on the mathematically simple processes of linear diffractive wave propagation. Here we show that the problem of non-line-of-sight imaging can also be formulated as one of diffractive wave propagation, by introducing a virtual wave field that we term the phasor field. Non-line-of-sight scenes can be imaged from raw time-of-flight data by applying the mathematical operators that model wave propagation in a conventional line-of-sight imaging system. Our method yields a new class of imaging algorithms that mimic the capabilities of line-of-sight cameras. To demonstrate our technique, we derive three imaging algorithms, modelled after three different line-of-sight systems. These algorithms rely on solving a wave diffraction integral, namely the Rayleigh–Sommerfeld diffraction integral. Fast solutions to Rayleigh–Sommerfeld diffraction and its approximations are readily available, benefiting our method. We demonstrate non-line-of-sight imaging of complex scenes with strong multiple scattering and ambient light, arbitrary materials, large depth range and occlusions. Our method handles these challenging cases without explicitly inverting a light-transport model. We believe that our approach will help to unlock the potential of non-line-of-sight imaging and promote the development of relevant applications not restricted to laboratory conditions. info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 42.778 2019 MULTIDISCIPLINARY SCIENCES 1 / 71 = 0.014 2019 Q1 T1 14.047 2019 Multidisciplinary 2019 Q1 info:eu-repo/semantics/other info:eu-repo/semantics/acceptedVersion (orcid)0000-0003-4833-8732 Guillén, Ibón Universidad de Zaragoza La Manna, Marco Hyun Nam, Ji Azer Reza, Syed Huu Le, Toan (orcid)0000-0001-9000-0466 Jarabo, Adrián Universidad de Zaragoza (orcid)0000-0002-7503-7022 Gutiérrez, Diego Universidad de Zaragoza Velten, Andreas 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 572 (2019), 620-623 Nature Nature 0028-0836 3289696 http://zaguan.unizar.es/record/87707/files/texto_completo.pdf Postprint 489445 http://zaguan.unizar.es/record/87707/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:87707 articulos driver 2021-03-18-09:09:59 ARTICLE