Structure-aware parametric representations for time-resolved light transport

Royo, Diego (Universidad de Zaragoza) ; Huang, Zesheng ; Liang, Yun ; Song, Boyan ; Muñoz, Adolfo (Universidad de Zaragoza) ; Gutierrez, Diego (Universidad de Zaragoza) ; Marco, Julio (Universidad de Zaragoza)

Resumen: Time-resolved illumination provides rich spatiotemporal information for applications such as accurate depth sensing or hidden geometry reconstruction, becoming a useful asset for prototyping and as input for data-driven approaches. However, time-resolved illumination measurements are high-dimensional and have a low signal-to-noise ratio, hampering their applicability in real scenarios. We propose a novel method to compactly represent time-resolved illumination using mixtures of exponentially modified Gaussians that are robust to noise and preserve structural information. Our method yields representations two orders of magnitude smaller than discretized data, providing consistent results in such applications as hidden-scene reconstruction and depth estimation, and quantitative improvements over previous approaches.

Idioma: Inglés

DOI: 10.1364/OL.465316

Año: 2022

Publicado en: Optics Letters 47, 19 (2022), 5212-5215
ISSN: 0146-9592

Factor impacto JCR: 3.6 (2022)

Categ. JCR: OPTICS rank: 31 / 99 = 0.313 (2022) - Q2 - T1

Factor impacto CITESCORE: 7.0 - Physics and Astronomy (Q1)

Factor impacto SCIMAGO: 1.179 - Atomic and Molecular Physics, and Optics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2019-105004GB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP30-21
Financiación: info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)