Single-Histogram Class Models for Image Segmentation

  title={Single-Histogram Class Models for Image Segmentation},
  author={Florian Schroff and Antonio Criminisi and Andrew Zisserman},
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
Highly Cited
This paper has 58 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 42 extracted citations

58 Citations

Citations per Year
Semantic Scholar estimates that this publication has 58 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 25 references

Zisserman . A statistical approach to texture classification from single images

  • M. Varma, A.
  • IJCV
  • 2005

Similar Papers

Loading similar papers…