Acquisition, Modeling and Rendering of Bidirectional Texture Function of Ancient Japanese Noh Costume Fabrics

Noh is a Japanese historical play lasted for 600 years and Noh costumes are precious cultural heritage and are made of specially woven silk fabrics. The reflectance of such fabric surface is commonly represented by a large-scale of bidirectional texture function (BTF) 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 acquiring, modeling and rendering of BTF of such woven fabrics. At first, we segment images of the woven fabrics into regions according to their colors. Next, we examine the relationship between the reflectance properties and micro facet surface geometry of a type of such woven silk fabrics. Then we develop an image-based method for generating the BTF for each segmented regions of woven fabrics from measurement of the reflectance cased by the incident light from any direction to the viewing direction perpendicular to the fabric’s surface. The simulation results on rendering an arbitrary colored Noh Costume show the performance of the proposed approach.