000164103 001__ 164103 000164103 005__ 20251121161351.0 000164103 0247_ $$2doi$$a10.1109/ICCP64821.2025.11143850 000164103 0248_ $$2sideral$$a146125 000164103 037__ $$aART-2025-146125 000164103 041__ $$aeng 000164103 100__ $$0(orcid)0000-0002-5778-1819$$aLuesia Lahoz, Pablo$$uUniversidad de Zaragoza 000164103 245__ $$aZero-phase phasor fields for non-line-of-sight imaging 000164103 260__ $$c2025 000164103 5060_ $$aAccess copy available to the general public$$fUnrestricted 000164103 5203_ $$aNon-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. 000164103 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T34-23R$$9info:eu-repo/grantAgreement/ES/MICIU/PID2019-105004GB-I00 000164103 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000164103 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000164103 700__ $$aSultan, Talha 000164103 700__ $$aPeterson, Forrest B. 000164103 700__ $$aVelten, Andreas 000164103 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000164103 700__ $$0(orcid)0000-0002-8160-7159$$aMuñoz, Adolfo$$uUniversidad de Zaragoza 000164103 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000164103 773__ $$g2025 (2025), [9 pp.]$$pIEEE Int. Conf. Comput. Photogr.$$tIEEE International Conference On Computational Photography$$x2164-9774 000164103 8564_ $$s9896568$$uhttps://zaguan.unizar.es/record/164103/files/texto_completo.pdf$$yPostprint 000164103 8564_ $$s3155675$$uhttps://zaguan.unizar.es/record/164103/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000164103 909CO $$ooai:zaguan.unizar.es:164103$$particulos$$pdriver 000164103 951__ $$a2025-11-21-14:26:34 000164103 980__ $$aARTICLE