A comparison of two objects may be viewed as an attempt to determine the degree to which
they are similar or different in a given sense. Defining a good measure of proximity, or else …

In this paper, we discuss a number of new problems that arise in image databases, and that
set them apart from traditional databases. The fact that image databases are based on …

Cybernetic vision systems can be deployed in problem domains where the goal is to
achieve results similar to those produced by humans. Fundamentally, these problems …

Conventional image recognition methods usually include dividing the keypoint
neighborhood (for local features) or the whole object (for global features) into a grid of …

An algorithm for matching images of real world scenes is presented. The matching is a
specification of the geometrical disparity between the images and may be used to partially …

Suppose we have a collection of vectors {xi∈ Rd: i∈{1,..., n}} and we want to compute the
n× n matrix, D, of all pairwise distances between them. We first consider the case where …

A multiresolution distance measure for images Page 1 138 IEEE SIGNAL PROCESSING
LETTERS, VOL. 5, NO. 6, JUNE 1998 A Multiresolution Distance Measure for Images Phillip …

Distance functions are at the core of numerous computer vision and machine learning tasks.
For example, a multiple view geometry application (such as homography estimation), often …

In this paper we analyse dissimilarity measures for probability distributions which are
frequently used in the area of pattern recognition, image processing,-indexing and …

A weighted dissimilarity measure in vectorial spaces is proposed to optimize the
performance of the nearest neighbor classifier. An approach to find the required weights …