A Simple Diffuse Fluorescent BBRRDF Model

Jung, Alisa; Hanika, Johannes; Marschner, Steve; Dachsbacher, Carsten

doi:10.2312/mam.20181193

Cited by 1 publication

(2 citation statements)

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“…Photometric properties of the substances in our data provide quantifiable information about the underlying material structure. Fluorescence occurs when microscopic structures absorb shortwave radiation like ultraviolet waves (100 − 400 ) and almost instantaneously emit longer wavelengths in the visible spectrum (400 − 700 ) [26]. This occurs when an orbital electron of a molecule transitions from a state of excitation to a relaxed ground state by emitting a photon [1].…”

Section: Materials Properties and Appearancementioning

confidence: 99%

“…We know that higher concentration increases the scattering coefficient of a substance resulting in a higher emission intensity [23]. In chemistry, this relationship between fluorescent emission intensity and material concentration is considered directly proportional [1,27] as concentration levels are usually within a low threshold. Rare exceptions occur for very large material concentrations (we do not account for this).…”

Section: Concentrationmentioning

confidence: 99%

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3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials

Ranjan¹,

Toler‐Franklin²

2021

Preprint

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Fig. 1. A conceptual overview of our approach. We learn the relationships between (c) the material structure and (b) the appearance on a source patch and adapt it to (d) the material structure of a target patch to reconstruct (f) its appearance.We propose a 3-D material style transfer framework for reconstructing invisible (or faded) appearance properties in complex natural materials. Our algorithm addresses the technical challenge of transferring appearance properties from one object to another of the same material when both objects have intricate, noncorresponding color patterns. Eggshells, exoskeletons, and minerals, for example, have patterns composed of highly randomized layers of organic and inorganic compounds. These materials pose a challenge as the distribution of compounds that determine surface color changes from object to object and within local pattern regions. Our solution adapts appearance observations from a material property distribution in an exemplar to the material property distribution of a target object to reconstruct its unknown appearance. We use measured reflectance in 3-D bispectral textures to record changing material property distributions. Our novel implementation of spherical harmonics uses principles from chemistry and biology to learn relationships between color (hue and saturation) and material composition and concentration in an exemplar. The encoded relationships are transformed to the property distribution of a target for color recovery and material assignment. Quantitative and qualitative evaluation methods show that we replicate color patterns more accurately than methods that only rely on shape correspondences and coarse-level perceptual differences. We demonstrate applications of our work for reconstructing color in extinct fossils, restoring faded artifacts and generating synthetic textures.

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Section: Materials Properties and Appearancementioning

confidence: 99%