Abstract

Figure 1: Example results of capturing four different surfaces under step-edge illumination. From left to right: painted bookend, metal bookend, shiny black folder, and whiteboard. The upper row shows real photos, and the bottom row shows images synthesized from the parameters acquired by our method. This paper introduces a rapid appearance capture method suited for a variety of common indoor surfaces, in which a single photograph of the reflection of a step edge is used to estimate both a BRDF and a statistical model for visible surface geometry, or mesostructure. It is applicable to surfaces with statistically stationary variation in surface height, even when these variations are large enough to produce visible texture in the image. Results are shown from a prototype system using a separate camera and LCD, demonstrating good visual matches for a range of man-made indoor materials.

Citations