Single-Histogram Class Models for Image Segmentation

@inproceedings{Schroff2006SingleHistogramCM,
  title={Single-Histogram Class Models for Image Segmentation},
  author={Florian Schroff and Antonio Criminisi and Andrew Zisserman},
  booktitle={ICVGIP},
  year={2006}
}
Histograms of visual words (or textons) have proved effective in tasks such as image classification and object class recognition. A common approach is to represent an object class by a set of histograms, each one corresponding to a training exemplar. Classification is then achieved by k-nearest neighbour search over the exemplars. In this paper we introduce two novelties on this approach: (i) we show that new compact single histogram models estimated optimally from the entire training set… CONTINUE READING
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