A method of matching data sets, such as different images, by estimating a transformation which relates the two images. Different candidate transformations are scored by using a similarity measure calculated on the basis of probability density functions derived from the two data sets themselves. The probability density functions are based on local likelihood density estimation (LLDE). The technique is applicable to image registration, and also to data fusion.