Exploring features in a Bayesian framework for material recognition

Exploring features in a Bayesian framework for material recognition

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...

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Bibliographic Details
Main Authors: Liu, Ce (Contributor), Sharan, Lavanya (Contributor), Adelson, Edward H. (Contributor), Rosenholtz, Ruth (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2012-03-02T16:38:20Z.
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