For the modeling of materials, the mapping of image features onto a codebook of feature representatives
receives extensive treatment. For reason of their generality and simplicity, filterbank outputs are commonly
used as features. The MR8 filterbank of Varma and Zisserman is performing well in a recent evaluation.
In this paper, we construct color invariant filter sets from the original MR8 filterbank. We evaluate
several color invariant alternatives over more than 250 real-world materials recorded under a variety of
imaging conditions including clutter. Our contribution is a material recognition framework that learns
automatically for each material specifically the most discriminative filterbank combination and corresponding
degree of color invariance. For a large set of materials each with different physical properties,
we demonstrate the material-specific filterbank models to be preferred over models with fixed
filterbanks.
The
Amsterdam Library of Textures.
@Article{BurghoutsPRL2009,
author = "Burghouts, G. J. and Geusebroek, J. M.",
title = "Material-Specific Adaptation of Color Invariant Features",
journal = "Pattern Recognition Letters",
volume = "30",
pages = "306--313",
year = "2009",
url = "https://ivi.fnwi.uva.nl/isis/publications/2009/BurghoutsPRL2009",
pdf = "https://ivi.fnwi.uva.nl/isis/publications/2009/BurghoutsPRL2009/BurghoutsPRL2009.pdf",
has_image = 1
}