Perceived roughness of 1/f(beta) noise surfaces

Stefano Padilla; Ondrej Drbohlav; Patrick Richey Green; Andrew Desmond Spence; Mike Chantler

doi:10.1016/j.visres.2008.05.015

Perceived roughness of 1/f(beta) noise surfaces

Stefano Padilla, Ondrej Drbohlav, Patrick Richey Green, Andrew Desmond Spence, Mike Chantler

Research output: Contribution to journal › Article › peer-review

31 Citations (Scopus)

Abstract

We report results from a new methodology for investigating the visually perceived properties of surface textures. Densely sampled two-dimensional 1/f^ß 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. © 2008 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	1791-1797
Number of pages	7
Journal	Vision Research
Volume	48
Issue number	17
DOIs	https://doi.org/10.1016/j.visres.2008.05.015
Publication status	Published - Aug 2008

Keywords

Appearance
Perceived roughness
Roughness perception
Texture

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10.1016/j.visres.2008.05.015

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abstract = "We report results from a new methodology for investigating the visually perceived properties of surface textures. Densely sampled two-dimensional 1/f{\ss} 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. {\textcopyright} 2008 Elsevier Ltd. All rights reserved.",

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AU - Green, Patrick Richey

AU - Spence, Andrew Desmond

AU - Chantler, Mike

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AB - We report results from a new methodology for investigating the visually perceived properties of surface textures. Densely sampled two-dimensional 1/fß 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. © 2008 Elsevier Ltd. All rights reserved.

KW - Appearance

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KW - Roughness perception

KW - Texture

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JO - Vision Research

JF - Vision Research

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ER -

Perceived roughness of 1/f(beta) noise surfaces

Abstract

Keywords

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