This thesis presents a novel investigation into the effect stereoscopic vision has upon the strength of perceived gloss on rough surfaces. We demonstrate that in certain cases disparity is necessary for accurate judgements of gloss strength. We first detail the process we used to create a two-level taxonomy of property terms, which helped to inform the early direction of this work, before presenting the eleven words which we found categorised the property space. This shaped careful examination of the relevant literature, leading us to conclude that most studies into roughness, gloss, and stereoscopic vision have been performed with unrealistic surfaces and physically inaccurate lighting models. To improve on the stimuli used in these earlier studies, advanced offline rendering techniques were employed to create images of complex, naturalistic, and realistically glossy 1/fβ noise surfaces. These images were rendered using multi-bounce path tracing to account for interreflections and soft shadows, with a reflectance model which observed all common light phenomena. Using these images in a series of psychophysical experiments, we first show that random phase spectra can alter the strength of perceived gloss. These results are presented alongside pairs of the surfaces tested which have similar levels of perceptual gloss. These surface pairs are then used to conclude that naïve observers consistently underestimate how glossy a surface is without the correct surface and highlight disparity, but only on the rougher surfaces presented.
|Award date||1 Oct 2013|
|Place of Publication||Edinburgh|
|Publication status||Published - Oct 2013|
- Roughness Perception
- Stereoscopic Viewing
- Fractal Surfaces