title: Perceived roughness of 1/f(beta) noise surfaces.
abstract: 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.
authors.affiliation: School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK.
authors.forename: Stefano
authors.initials: S
authors.lastname: Padilla
authors.forename: Ondrej
authors.initials: O
authors.lastname: Drbohlav
authors.forename: Patrick R
authors.initials: PR
authors.lastname: Green
authors.forename: Andy
authors.initials: A
authors.lastname: Spence
authors.forename: Mike J
authors.initials: MJ
authors.lastname: Chantler
mesh_terms: 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*