Material appearance modeling
- 188pages
- 7 heures de lecture
A principal aim of computer graphics is to create images that resemble photographs, but achieving realistic imagery is challenging due to the complex physical processes involved in material appearance. Traditional image-based modeling often struggles with the high-dimensional space of appearance data, making it impractical. This book introduces a framework that leverages the inherent coherency in appearance data to simplify image-based modeling. This coherence appears as low-dimensional structures in the data, which can be identified to streamline the appearance modeling process. The framework comprises two main components: the coherence structure and a reconstruction method that recovers low-dimensional appearance data from sparse measurements. Our exploration of appearance coherency has revealed three major forms of low-dimensional coherence and associated reconstruction techniques. This approach can be applied across various aspects of image-based appearance modeling, including data acquisition, user-assisted modeling, volume synthesis, material property editing, efficient rendering, and physical object fabrication. The book presents techniques based on this framework for handling surface reflections and subsurface scattering, the two key components of material appearance. Aimed at researchers, practitioners, and students in computer graphics, this book assumes an elementary background in the field and offers valuable insig

