MAM2024 - MANER Conference London 2024

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Browsing MAM2024 - MANER Conference London 2024 by Subject "Applied computing → Physics"

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    Importance of Multi-modal Reflection Data for Predictive Rendering
    (The Eurographics Association, 2024) Clausen, Olaf; Chen, Yang; Fuhrmann, Arnulph; Marroquim, Ricardo; Hardeberg, Jon Yngve; Rushmeier, Holly
    Accurate modeling of material appearance is crucial for achieving predictive rendering. To improve reflection models, databases with measured reflection behaviors of various material and surface types are of great importance. However, current databases provide limited information, focusing either on the spectral or spatial domain and often lack microgeometry details. To address this limitation, a multi-modal database that includes reflection behavior in both spectral and spatial domains, along with comprehensive microgeometry information, is essential. Additionally, scatter information simulated with microgeometry enhances the understanding of light-matter interactions. This paper discusses the importance of multi-modal reflection data in developing more realistic and computationally efficient reflection models for predictive rendering.