Exploring features in a Bayesian framework for material recognition

@article{Liu2010ExploringFI,
  title={Exploring features in a Bayesian framework for material recognition},
  author={Ce Liu and Lavanya Sharan and Edward H. Adelson and Ruth Rosenholtz},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year={2010},
  pages={239-246}
}
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… CONTINUE READING
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