Examples from our image database of material categories: (a) fabric, (b)
glass, (c) leather, (d) metal, (e) paper, (f) plastic, (g) stone, (h) water,
and (i) wood. We used an intentionally diverse selection of images; each
category included a range of illumination conditions, viewpoints, surface
geometries, reflectance properties, and backgrounds. This diversity in
appearance reduced the chances that simple, low-level information like color
could be used to distinguish the categories. In addition, all images in our
database were normalized to have the same mean luminance to prevent overall
brightness from being a cue to the material category.