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Appearance Modeling of Living Human Tissues

Maciel, Anderson
Meyer, Gary W.
John, Nigel W.
Walter, Marcelo
Nunes, Augusto L. P.
Baranoski, Gladimir V. G.
Other Titles
Abstract
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 modeling 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.
Citation
Nunes, A.L.P., Maciel, A., Meyer, G.W., John, N.W., Baranoski, G.V.G., & Walter, M. (2019). Appearance Modeling of Living Human Tissues, Computer Graphics Forum, 38(6), 43-65.
Publisher
Wiley
Journal
Computer Graphics Forum
Research Unit
DOI
10.1111/cgf.13604
PubMed ID
PubMed Central ID
Type
Article
Language
en
Description
This is the peer reviewed version of the following article: Nunes, A.L.P., Maciel, A., Meyer, G.W., John, N.W., Baranoski, G.V.G., & Walter, M. (2019). Appearance Modeling of Living Human Tissues, Computer Graphics Forum, which has been published in final form at https://doi.org/10.1111/cgf.13604. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
Series/Report no.
ISSN
EISSN
1467-8659
ISBN
ISMN
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https://www.springer.com/gb/book/9783030062453