Learning Outdoor Color Classification

  title={Learning Outdoor Color Classification},
  author={Roberto Manduchi},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training image. Then, using a simple diagonal illumination model, the illuminants in a new scene that contains some of the surface classes seen in the training image are estimated in a maximum likelihood framework using the expectation maximization algorithm. We also show how to impose priors on the illuminants, effectively… CONTINUE READING
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