Hyperspectral Modeling of Material Appearance: General Framework, Challenges and Prospects

Abstract

Abstract:The main purpose of this tutorial is to address theoretical and practical issues involved in the development of predictive material appearance models for interdisciplinary applications within and outside the visible spectral domain. We examine the specific constraints and pitfalls found in each of the key stages of the model development framework, namely data collection, design and evaluation, and discuss alternatives to enhance the effectiveness of the entire process. Although predictive material appearance models developed by computer graphics researchers are usually aimed at realistic image synthesis applications, they also provide valuable support for a myriad of advanced investigations in related areas, such as computer vision, image processing and pattern recognition, which rely on the accurate analysis and interpretation of material appearance attributes in the hyperspectral domain. In fact, their scope of contributions goes beyond the realm of traditional computer science applications. For example, predictive light transport simulations, which are essential for the development of these models, are also regularly being used by physical and life science researchers to understand and predict material appearance changes prompted by mechanisms which cannot be fully studied using standard "wet" experimental procedures. For completeness, this tutorial also provides an overview of such synergistic research efforts and in silico investigations, which are illustrated by case studies involving the use of hyperspectral material appearance models.

High‐fidelity iridal light transport simulations at interactive rates

“…As the advances in this area continue, the demand for higher correctness to cost ratios in the image synthesis process has been increasing accordingly. Recently, this trend has been particularly intensified by initiatives aimed at the development of hyperspectral visualization and rendering systems …”