Image processing system for determining metrics of objects represented therein

Abstract

A computer system determines a metric for an input object, which could be an image of a person with the metric being measure of the person's body size, age, etc. A paired neural network system is trained on a training set of objects having pairs of objects each assigned a relative metric. A relative metric for a pair indicate which of the pair has the higher metric. A representative set of objects includes a known assigned metric value for each object. The trained paired neural network system pairwise compares an input object with objects from the representative set to determine a relative metric for each such pair, to arrive at a collection of relative metrics of the input object relative to various objects in the representative set. A metric value can be estimated for the input object based on the collection of relative metrics and those known metric values.