The Earth Mover Distance is one of the key metrics in computer vision and information retrieval based on histograms.
The dissimilarity measures dates back from Monge problem. It is a cross-bin measure, that means we do not have to align the bin of the first histogram to the bin of the second histogram distribution.
At ICIP, we shall present some recent work that deals with EMD on a super pixel segmentation tree:
Takes into account the geometrical and topological structure of segments
Takes into account unconsistent segmentation from one image to the other
As fast as solving an EMD problem on 1-D distribution
The Earth Mover Distance is one of the key metrics in computer vision and information retrieval based on histograms. The dissimilarity measures dates back from Monge problem. It is a cross-bin measure, that means we do not have to align the bin of the first histogram to the bin of the second histogram distribution.
At ICIP, we shall present some recent work that deals with EMD on a super pixel segmentation tree:
Here, is the
Frank.