This research develops an extendible framework for reproducing watercolor in a digital
environment, with a focus on interactivity using the GPU. The framework uses the
lattice Boltzmann method, a relatively new approach to fluid dynamics, and the
Kubelka-Munk reflectance model to capture the optical properties of watercolor. The
work is demonstrated through several paintings produced using the system.
Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/86068 |
Date | 10 October 2008 |
Creators | O'Brien, Patrick Michael |
Contributors | House, Donald |
Publisher | Texas A&M University |
Source Sets | Texas A and M University |
Language | en_US |
Detected Language | English |
Type | Book, Thesis, Electronic Thesis, text |
Format | electronic, born digital |
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