We classify surface textures using a polymer-based microelectromechanical systems (MEMS) tactile sensor array and a robust statistical approach. We demonstrate that a MEMS tactile sensor resembling a flexible sensor ‘skin’ built using a polyimide substrate can successfully classify textures. Texture classification is achieved by using a maximum likelihood decision rule that optimally classifies...

Traditionally, human texture perception has been studied using artificial textures made of random-dot patterns or abstract structured elements. At the same time, computer algorithms for the synthesis of natural textures have improved dramatically. The current study seeks to unify these two fields of research through a psychophysical assessment of a particular computational model, thus providing...

This paper proposes a new approach for paint appearance simulation. Coatings color and appearance change significantly according to lighting and observation conditions. The aim of this study is to propose both real time and accurate solutions for painted surface simulation. To solve real time constraints, we have chosen to simulate the paint appearance thanks to textures. Each texture represent...

Procedural textures have significant advantages over image textures. Procedural textures are compact, are resolution and size independent, often remove the need for a texture parameterization, can easily be parameterized and edited, and allow high quality antialiasing. However, creating procedural textures is more difficult than creating image textures. Creating procedural textures typically in...

A travelling Lamb wave tactile display has been developed. To indicate smooth or braking sensation, the device is controlled in order to impose the relative speed between the finger and the wave, so that a variable shear force appears on the fingerpulp. Moreover, at low frequency, an amplitude modulation of the travelling Lamb wave is achieved so as to excite alternatively shear forces on the s...

Traditionally, texture perception has been studied using artificial textures made of random dots or repeated shapes. At the same time, computer algorithms for natural texture synthesis have improved dramatically. We seek to unify these two fields through a psychophysical assessment of a particular computational model, providing insight into which statistics are most vital for natural texture pe...

This paper describes a stable and robust finite element solver for physically-based texture synthesis over arbitrary manifold surfaces. Our approach solves the reaction-diffusion equation coupled with an anisotropic diffusion equation over surfaces, using a Galerkin based finite element method (FEM). This method avoids distortions and discontinuities often caused by traditional texture mapping ...

Random and natural textures classification is still one of the biggest challenges in the field of image processing and pattern recognition. In this paper, texture feature extraction using Slant Hadamard Transform was studied and compared to other signal processing-based texture classification schemes. A parametric SHT was also introduced and employed for natural textures feature extraction. We ...

We investigate the transport properties of superconducting films with periodic arrays of in-plane magnetized micromagnets. Two different magnetic textures are studied: a square array of magnetic bars and a close-packed array of triangular microrings. As confirmed by magnetic force microscopy imaging, the magnetic state of both systems can be adjusted to produce arrays of almost pointlike magnet...