The visual fidelity of realistic renderings in Computer Graphics depends fundamentally upon how we model the appearance of objects resulting from the interaction between light and matter reaching the eye. In this paper, we survey the research addressing appearance modelling of living human tissue. Among the many classes of natural materials already researched in Computer Graphics, living human tissues such as blood and skin have recently seen an increase in attention from graphics research. There is already an incipient but substantial body of literature on this topic, but we also lack a structured review as presented here. We introduce a classification for the approaches using the four types of human tissues as classifiers. We show a growing trend of solutions that use first principles from Physics and Biology as fundamental knowledge upon which the models are built. The organic quality of visual results provided by these Biophysical approaches is mainly determined by the optical properties of biophysical components interacting with light. Beyond just picture making, these models can be used in predictive simulations, with the potential for impact in many other areas.
Bibliographical noteFunding Information:
This study was financed in part by the Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - Brasil (CAPES) - Finance Code 001. We also acknowledge FAPERGS (project 17/2551-0001192-9), CNPq-Brazil (project 311353/2017-7) and UK EPSRC (project EP/G055246/1) for their financial support.
© 2019 The Authors Computer Graphics Forum © 2019 Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd
- Computing methodologies → Reflectance modelling
- appearance modelling
- natural phenomena