Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography

Hwang, I. ; Jeon, D. S. ; Muñoz, A. (Universidad de Zaragoza) ; Gutiérrez, D. (Universidad de Zaragoza) ; Tong, X. ; Kim, M. H.

Resumen: Ellipsometry techniques allow to measure polarization information of materials, requiring precise rotations of optical components with different configurations of lights and sensors. This results in cumbersome capture devices, carefully calibrated in lab conditions, and in very long acquisition times, usually in the order of a few days per object. Recent techniques allow to capture polarimetric spatially-varying reflectance information, but limited to a single view, or to cover all view directions, but limited to spherical objects made of a single homogeneous material. We present sparse ellipsometry, a portable polarimetric acquisition method that captures both polarimetric SVBRDF and 3D shape simultaneously. Our handheld device consists of off-the-shelf, fixed optical components. Instead of days, the total acquisition time varies between twenty and thirty minutes per object. We develop a complete polarimetric SVBRDF model that includes diffuse and specular components, as well as single scattering, and devise a novel polarimetric inverse rendering algorithm with data augmentation of specular reflection samples via generative modeling. Our results show a strong agreement with a recent ground-truth dataset of captured polarimetric BRDFs of real-world objects.

Idioma: Inglés

DOI: 10.1145/3528223.3530075

Año: 2022

Publicado en: ACM TRANSACTIONS ON GRAPHICS 41, 4 (2022), 133 [14 pp.]
ISSN: 0730-0301

Factor impacto JCR: 6.2 (2022)

Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 11 / 108 = 0.102 (2022) - Q1 - T1

Factor impacto CITESCORE: 14.9 - Computer Science (Q1)

Factor impacto SCIMAGO: 3.697 - Computer Graphics and Computer-Aided Design (Q1)

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
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-105004GB-I00

Tipo y forma: Artículo (Versión definitiva)

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