| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4035182 | Vision Research | 2008 | 7 Pages |
Abstract
We report results from a new methodology for investigating the visually perceived properties of surface textures. Densely sampled two-dimensional 1/fβ noise processes are used to model natural looking surfaces, which are rendered using combined point-source and ambient lighting. Surfaces are shown in motion to provide rich cues to their relief. They are generated in real time to enable observers to dynamically manipulate surface parameters. A method of adjustment is employed to investigate the effects that the two surface parameters, magnitude roll-off factor and RMS height, have on perceived roughness. The results are used to develop an estimation method for perceived roughness.
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Authors
Stefano Padilla, Ondrej Drbohlav, Patrick R. Green, Andy Spence, Mike J. Chantler,