Predictive Simulation and Rendering of Material Appearance Changes Induced by Invisible Light

计算机图形学仍然是计算机科学中最普遍的领域之一，其应用范围从用于教育和娱乐目的的电影制作到科学和医疗数据的可视化。对现实主义的追求一直是这一领域创新研究发展的推动力。为了生成具有高度真实感的图像，有必要准确地模拟影响材料外观属性（如颜色，光泽度和半透明）的光和物质相互作用。******逼真的渲染应用程序主要集中在可见域，产生的图像通常描绘材料在其典型的原始状态。然而，真实材料的可见外观属性会发生显著变化，特别是由于暴露在不可见光下。例如，影响人类皮肤可见外观的自然过程，如晒黑和雀斑，可以由紫外线诱导，紫外线也可以通过人造和自然产生的材料，如矿物质和叶绿素，触发可见光的发射（荧光和磷光现象）。******这项研究计划的主要目标是通过对暴露在紫外线和红外光下触发的自然过程的预测模拟，推进材料外观建模的最新技术。虽然这项工作将以计算机图形学领域为基础，但拟议的工作将包含与评价和传播其成果有关的大量跨学科组成部分。为了预测和可靠，光与物质相互作用的模拟需要提供物理上正确的结果。因此，我们将通过与实际测量数据的比较来评估我们的模拟结果。我们还将把我们的模拟算法和支持生物物理的数据放在网上，以便复制和扩展我们的发现。******由于暴露在不可见光下引起的材料外观变化的科学重要性，该研究计划不仅将导致计算机图形学的相关贡献，还将导致从应用光学到遥感等广泛学科的相关贡献。通过将可预测性和可靠性作为其主要指导方针，它将提供可重复的结果，人们可以有效地建立在这些结果的基础上，以解决这些学科中的开放性问题和影响全球生活质量的实际问题。这类应用的例子包括但不限于：设计用于自动筛选严重医疗状况的新技术，开发用于早期发现食品质量问题的有效程序，以及制定用于远程评估土壤污染和作物产量的准确方法。因此，它将有利于研究人员和广大公众

Computer graphics remains one of the most pervasive areas of computer science, with applications spanning from the production of movies for educational and entertainment purposes to the visualization of scientific and medical data. The pursuit of realism has been a driving force for innovative research developments in this area. In order to generate images with a high degree of realism, it is necessary to accurately simulate light and matter interactions that affect material appearance attributes such as colour, glossiness and translucency.******Realistic rendering applications are largely centered at the visible domain, with the resulting images usually depicting materials in their typical original state. However, real materials are subject to prominent changes in their visible appearance attributes, notably due to exposure to invisible light. For example, natural processes affecting the visible appearance of human skin, such as tanning and freckling, can be induced by ultraviolet light, which can also trigger the emission of visible light (fluorescence and phosphorescence phenomena) by man-made and naturally occurring materials such as minerals and chlorophyll.******The main goal of this research program is to advance the state of the art in the modeling of material appearance through the predictive simulation of natural processes triggered by exposure to ultraviolet and infrared light. Although it will be grounded in the computer graphics field, the proposed work will have a substantial interdisciplinary component associated with the evaluation and dissemination of its outcomes. In order to be predictive and reliable, simulations of light and matter interactions need to provide physically correct results. Accordingly, we will evaluate our simulation results through comparisons with actual measured data. We will also make our simulation algorithms and supporting biophysical data available online to enable the reproduction and expansion of our findings.******Due to the scientific importance of material appearance changes caused by exposure to invisible light, this research program will lead to relevant contributions not only to computer graphics, but also to a wide range of disciplines, from applied optics to remote sensing. By having predictability and reliability as its main guidelines, it will provide reproducible outcomes that one can build on efficiently in order to tackle open questions in these disciplines and practical problems affecting the quality of life worldwide. Examples of such applications include, but are not limited to, the design of new technologies for the automatic screening of severe medical conditions, the development of effective procedures for the early detection of food quality problems, and the formulation of accurate methods for the remote assessment of soil contamination and crop yield. Hence, it will benefit both researchers and the public at large.**