In this paper we compare to the standard correlation coefficient three estimators of similarity
for visual patterns which are based on the L2and L1 norms. The emphasis of the …

A number of measures of canonical correla-tion coefficient are now used in multimedia
related fields like object recognition, image segmentation facial expression recognition and …

The auto/cross correlation of L2 functions are constrained by certain bounds which may
often be used to advantage. These bounds apply to all the common cross correlation …

Correlations among variables are typically not free to vary between− 1 and 1, with bounds
determined by the marginal distributions. Computing upper and lower limits of correlations …

The sample correlation coefficient R is almost universally used to estimate the population
correlation coefficient p. If the pair (X, Y) has a bivariate normal distribution, this would not …

The cross ratio of four colinear points is of fundamental importance in model based vision,
because it is the simplest numerical property of an object that is invariant under projection to …

In the context of computer vision, matching can be done using correlation measures. This
paper presents the classification of fifty measures into five families. In addition, eighteen new …

Several approaches for robust canonical correlation analysis will be presented and
discussed. A first method is based on the definition of canonical correlation analysis as …

A similarity measure is needed in many Computer Vision problems. Although Euclidean
distance has traditionally been used, median distance was recently proposed as an …

In this paper we address the problem of matching sets of vectors embedded in the same
input space. We propose an approach which is motivated by canonical correlation analysis …