Please note: This master’s thesis presentation will be given online.
Rebecca Santos, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Gladimir Baranoski
The perception of realism in computer generated images can be significantly enhanced by subtle visual cues. Among those, one can highlight the presence of dust on synthetic objects, which is often subject to temporal variations in real settings. Moreover, by realistically depicting the appearance of dust accumulated over time, one can also convey subtle information about the history of a scene.
In this thesis, we present a framework for the generation of textures representing the accumulation of this ubiquitous material over time in indoor settings. It employs a physically-inspired approach to portray the effects of different levels of accumulated dust roughness on the appearance of substrate surfaces, and to modulate these effects according to the different illumination and viewing geometries. The development of its core algorithms was guided by empirical insights and data obtained from observational experiments which are also described. To illustrate its applicability to the rendering of visually plausible depictions of time-dependent changes in dusty scenes, we provide sequences of images obtained considering distinct dust accumulation scenarios.
To join this master’s thesis presentation on Zoom, please go to https://uwaterloo.zoom.us/j/94718749094?pwd=Z0xsZzlGbHlmcUtqUXh4QlFBV2txdz09.
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