Navigating the Manifold of Translucent Appearance

Lanza, Dario (Universidad de Zaragoza) ; Masia, Belen (Universidad de Zaragoza) ; Jarabo, Adrian

Resumen: We present a perceptually‐motivated manifold for translucent appearance, designed for intuitive editing of translucent materials by navigating through the manifold. Classic tools for editing translucent appearance, based on the use of sliders to tune a number of parameters, are challenging for non‐expert users: These parameters have a highly non‐linear effect on appearance, and exhibit complex interplay and similarity relations between them. Instead, we pose editing as a navigation task in a low‐dimensional space of appearances, which abstracts the user from the underlying optical parameters. To achieve this, we build a low‐dimensional continuous manifold of translucent appearance that correlates with how humans perceive this type of materials. We first analyze the correlation of different distance metrics in image space with human perception. We select the best‐performing metric to build a low‐dimensional manifold, which can be used to navigate the space of translucent appearance. To evaluate the validity of our proposed manifold within its intended application scenario, we build an editing interface that leverages the manifold, and relies on image navigation plus a fine‐tuning step to edit appearance. We compare our intuitive interface to a traditional, slider‐based one in a user study, demonstrating its effectiveness and superior performance when editing translucent objects.

Idioma: Inglés

DOI: 10.1111/cgf.15035

Año: 2024

Publicado en: Computer Graphics Forum 43, 2 (2024), e15035 [13 pp.]
ISSN: 0167-7055

Factor impacto JCR: 2.9 (2024)

Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 49 / 129 = 0.38 (2024) - Q2 - T2

Factor impacto CITESCORE: 6.0 - Computer Graphics and Computer-Aided Design (Q1)

Factor impacto SCIMAGO: 0.788 - Computer Graphics and Computer-Aided Design (Q1) - Computer Networks and Communications (Q2)

Financiación: info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2022-141766OB-I00

Tipo y forma: Artículo (Versión definitiva)

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