Perceived roughness of 1/f(beta) noise surfaces.
We report results from a new methodology for investigating the visually perceived properties of surface textures. Densely sampled two-dimensional 1/f(beta) 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.
Padilla
Stefano
S
School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK.
Drbohlav
Ondrej
O
Green
Patrick R
PR
Spence
Andy
A
Chantler
Mike J
MJ
D003196:Computer Graphics; D003198:Computer Simulation; D015350:Contrast Sensitivity / Q000502:physiology; D003463:Cues; D003867:Depth Perception / Q000502:physiology; D006801:Humans; D010364:Pattern Recognition, Visual / Q000502:physiology; D010775:Photic Stimulation / Q000379:methods; D011601:Psychophysics; D014796:Visual Perception / Q000502:physiology*