A Simplified Texture Modeling Using a Physical and Perceptual Rule-Based Approach

Abstract

In this paper, a method for creating texture models with physical significance using a parametric equalizer (PEQ)-based approach is presented. The model is based on the frequency, amplitude, bandwidth, and noise ratio corresponding to texture profiles. Additionally, the method simplifies the modeling process by enabling the selective omission of imperceptible roughness layers based on human tactile thresholds. The effectiveness of the simplified model was validated through subjective evaluations comprising both absolute and relative assessments. The results confirmed that layers with imperceptible roughness could be excluded without compromising perceived similarity, streamlining the texture modeling process. Regression analysis revealed that PEQ parameters reflect physical interactions in tactile sensations, such as the relationship between texture roughness and vibration amplitude. This study contributes to haptic texture modeling by offering a method that efficiently reproduces actual textures and mirrors the fundamental physical principles of touch. The findings hold promise for applications in texture authoring and material selection, indicating potential advancements in the development of more intuitive and physically transparent texture models.

Keywords

• Haptic rendering
• texture
• vibration
• tactile
• force feedback