Compact Modeling and Plausible Deformation of Human Lung Anatomy with Smooth Surfaces

Kang, Yunku; Park, Jaesung; Lee, Jae‐Wook; Shim, Minsub; Kim, Myung-Soo

doi:10.1145/2915926.2915938

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…In this summary, we only included research where the organs tissue appearance was addressed. For some tissues, particularly muscles, there is an extensive body of research that addresses their physical behaviour, mostly for computer animation purposes [ISYM15, KPL*16]. Since our focus is on the appearance modelling, these approaches were not included.…”

Section: Human Tissues and Their Modelingmentioning

confidence: 99%

Appearance Modelling of Living Human Tissues

Nunes

Maciel

Meyer³

et al. 2019

Computer Graphics Forum

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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.

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Section: Human Tissues and Their Modelingmentioning

confidence: 99%