Perlin Noise and 2D Second-Order Tensor Field Visualization

Abstract

There has been much research in the use of texture for visulization the vector field data, whereas there has only been a few papers concerned specifically with tensor field data. This set is more complex and embeds more information than vector fields. In this paper, firstly texture is modeled by Perlin Noise. We show that by controlling the parameters of Perlin Noise, the user can control the output texture effectively, which is similar to Spot Noise. Then the modeled texture is used to visualize eigenvector fields of tensor fields by simple convolution. Several examples are shown. Compared to Line Integration Convolution, this method does not need to integrate the streamline along the vector field.