|dc.contributor.advisor||Chantler, Professor Mike J.||
|dc.contributor.advisor||Siebert, Doctor J. Paul||
|dc.description.abstract||This thesis is concerned with the visual perception of glossy rough surfaces, specifically those characterised by 1/fB noise.
Computer graphics were used to model these natural looking surfaces, which were
generated and animated to provide realistic stimuli for observers. Different methods
were employed to investigate the effects of varying surface roughness and reflection
model parameters on perceived gloss.
We first investigated how the perceived gloss of a matte Lambertian surface varies
with RMS roughness. Then we estimated the perceived gloss of moderate RMS
height surfaces rendered using a gloss reflection model. We found that adjusting parameters
of the gloss reflection model on the moderate RMS height surfaces produces
similar levels of gloss to the high RMS height Lambertian surfaces.
More realistic stimuli were modelled using improvements in the reflection model,
rendering technique, illumination and viewing conditions. In contrast with previous
research, a non-monotonic relationship was found between perceived gloss and
mesoscale roughness when microscale parameters were held constant. Finally, the
joint effect of variations in mesoscale roughness (surface geometry) and microscale
roughness (reflection model) on perceived gloss was investigated and tested against
conjoint measurement models. It was concluded that perceived gloss of rough surfaces
is significantly affected by surface roughness in both mesoscale and microscale
and can be described by a full conjoint measurement model.||en_US
|dc.publisher||Mathematical and Computer Sciences||en_US
|dc.rights||All items in ROS are protected by the Creative Commons copyright license (http://creativecommons.org/licenses/by-nc-nd/2.5/scotland/), with some rights reserved.||
|dc.title||Measuring perceived gloss of rough surfaces||en_US