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High‐fidelity iridal light transport simulations at interactive rates
Author(s) -
Kravchenko Boris,
Baranoski Gladimir V. G.,
Chen Tenn Francis,
Miranda Erik,
Van Leeuwen Spencer R.
Publication year - 2017
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1755
Subject(s) - rendering (computer graphics) , computer science , fidelity , high fidelity , visualization , artificial intelligence , telecommunications , electrical engineering , engineering
Predictive light transport models based on first‐principles simulation approaches have been proposed for complex organic materials. The driving force behind these efforts has been the high‐fidelity reproduction of material appearance attributes without one having to rely on the manipulation of ad hoc parameters. These models, however, are usually considered excessively time consuming for rendering and visualization applications requiring interactive rates. In this paper, we propose a strategy to address this open problem with respect to one of the most challenging of these organic materials, namely the human iris. More specifically, starting with the configuration of a predictive iridal light transport model on a parallel‐computing platform, we analyze the sensitivity of iridal appearance attributes to key model running parameters in order to achieve an optimal balance between fidelity and performance. We believe that the proposed strategy represents a step toward the real‐time and predictive synthesis of high‐fidelity iridal images for rendering and visualization applications, and it can be extended to other organic materials.