164103 20251121161351.0 doi 10.1109/ICCP64821.2025.11143850 sideral 146125 ART-2025-146125 eng Luesia Lahoz, Pablo Universidad de Zaragoza (orcid)0000-0002-5778-1819 Zero-phase phasor fields for non-line-of-sight imaging 2025 Non-line-of-sight imaging employs ultra-fast illumination and sensing devices to reconstruct scenes outside their line of sight by analyzing the temporal profile of indirect scattered illumination on a secondary relay surface. Commonly, the NLOS methods transform the temporal domain into the frequency domain and operate on it, and then identify surface locations by locating the maxima in amplitude along the reconstruction volume. Phase information, which is virtual as it results from a Fourier transform, is very often discarded or ignored. We incorporate phase information into our novel Zero-Phase Phasor Fields imaging technique, which we derive for a confocal capture configuration. We show how, at positions that belong to the hidden geometry, we can ensure the phase is zero, so we can locate the hidden geometry with great precision by locating the zero crossings in the phase. This allows us to reconstruct at widely spaced locations and still achieve up to 125 micrometer depth precision, as our experimental validation shows with both synthetic and captured data, the latter publicly available. Moreover, the phase is robust to noise, as we demonstrate with decreasing signal-to-noise ratio using publicly available dataset captures of the same scene. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/DGA/T34-23R info:eu-repo/grantAgreement/ES/MICIU/PID2019-105004GB-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Sultan, Talha Peterson, Forrest B. Velten, Andreas Gutierrez, Diego Universidad de Zaragoza (orcid)0000-0002-7503-7022 Muñoz, Adolfo Universidad de Zaragoza (orcid)0000-0002-8160-7159 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 2025 (2025), [9 pp.] IEEE Int. Conf. Comput. Photogr. IEEE International Conference On Computational Photography 2164-9774 9896568 http://zaguan.unizar.es/record/164103/files/texto_completo.pdf Postprint 3155675 http://zaguan.unizar.es/record/164103/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:164103 articulos driver 2025-11-21-14:26:34 ARTICLE