118805 20240614091132.0 doi 10.1016/j.cag.2022.07.003 sideral 129994 ART-2022-129994 eng Royo, Diego Universidad de Zaragoza (orcid)0000-0001-6880-322X Non-line-of-sight transient rendering 2022 Access copy available to the general public Unrestricted The capture and analysis of light in flight, or light in transient state, has enabled applications such as range imaging, reflectance estimation and especially non-line-of-sight (NLOS) imaging. For this last case, hidden geometry can be reconstructed using time-resolved measurements of indirect diffuse light emitted by a laser. Transient rendering is a key tool for developing such new applications, significantly more challenging than its steady-state counterpart. In this work, we introduce a set of simple yet effective subpath sampling techniques targeting transient light transport simulation in occluded scenes. We analyze the usual capture setups of NLOS scenes, where both the camera and light sources are focused on particular points in the scene. Also, the hidden geometry can be difficult to sample using conventional techniques. We leverage that configuration to reduce the integration path space. We implement our techniques in a modified version of Mitsuba 2 adapted for transient light transport, allowing us to support parallelization, polarization, and differentiable rendering. © 2022 The Author(s) info:eu-repo/grantAgreement/ES/AEI/PID2019-105004GB-I00 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/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.5 2022 COMPUTER SCIENCE, SOFTWARE ENGINEERING 52 / 108 = 0.481 2022 Q2 T2 0.539 2022 Computer Graphics and Computer-Aided Design 2022 Q2 Computer Vision and Pattern Recognition 2022 Q2 Engineering (miscellaneous) 2022 Q2 Signal Processing 2022 Q2 Human-Computer Interaction 2022 Q3 Software 2022 Q3 4.9 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion García, Jorge (orcid)0000-0001-6070-0509 Muñoz, Adolfo Universidad de Zaragoza (orcid)0000-0002-8160-7159 Jarabo, Adrian 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 107 (2022), 84-92 Comput. graph. COMPUTERS & GRAPHICS-UK 0097-8493 2783802 http://zaguan.unizar.es/record/118805/files/texto_completo.pdf Versión publicada 2986702 http://zaguan.unizar.es/record/118805/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:118805 articulos driver 2024-06-14-09:08:38 ARTICLE