The chi squared distance d(x,y) is, as you already know, a distance between two histograms x=[x_1,..,x_n] and y=[y_1,...,y_n] having
n bins both. Moreover, both histograms are normalized, i.e. their entries sum up to one.The distance measure d is usually defined (although alternative definitions exist) as d(x,y) = sum( (xi-yi)^2 / (xi+yi) ) / 2 . It is
often used in computer vision to compute distances between some bag-of-visual-word representations of images.
The name of the distance ......
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