Image-based Rendering of the AnisotropicBRDF ofWoven Fabrics

The reflectance of fabric surface is commonly represented by a 4D bidirectional reflectance distribution function (BRDF). To generate the BRDF from measured data by a gonioreflectometer with 2 degrees of freedom of the light source and 2 degrees of freedom of the observing direction, it requires an enormous amount of measurements. In this paper, we propose an efficient image-based method for rendering the anisotropic BRDF of woven fabrics based on the micro facet surface geometry determined by the cross-sectional shape of fibers, twist of yarns, and type of weave. At first, we examine the relationship between the reflectance properties and the micro facet surface geometry of a type of woven fabric such as silk-like synthesized fabric. Next, we develop an image-based method for generating the BRDF of woven fabrics from measurement of the reflectances caused by the incident light only in the direction perpendicular to the fabric’s surface. The simulation results on arbitrarily colored dresses show the performance of the proposed approach.