====== Exploring Features in a Bayesian Framework for Material Recognition ======

==== Ce Liu, Lavanya Sharan, Edward H. Adelson, and Ruth Rosenholtz ====

===== Abstract =====

We are interested in identifying the material category,
e.g. glass, metal, fabric, plastic or wood, from a single image
of a surface. Unlike other visual recognition tasks in
computer vision, it is difficult to find good, reliable features
that can tell material categories apart. Our strategy is to
use a rich set of low and mid-level features that capture various
aspects of material appearance. We propose an augmented
Latent Dirichlet Allocation (aLDA) model to combine
these features under a Bayesian generative framework
and learn an optimal combination of features. Experimental
results show that our system performs material recognition
reasonably well on a challenging material database,
outperforming state-of-the-art material/texture recognition
systems.

===== Information =====


---- dataentry pubitem ----
title       : Exploring Features in a Bayesian Framework for Material Recognition
authors     : Ce Liu, Lavanya Sharan, Edward H. Adelson, and Ruth Rosenholtz
citation    : IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp239 - 246
shortcite   : CVPR 2010
year        : 2010
created_dt  : 2010-01-01
keyword_tags: adelson, rosenholtz
summary_page : publications:maltRecogCVPR10
pdf_url     : http://persci.mit.edu/pub_pdfs/maltRecogCVPR10.pdf
pageid      : maltRecogCVPR10
type        : publication
----