title: Distance-classifier correlation filters for multiclass target recognition.
abstract: We describe a correlation-based distance-classifier scheme for the recognition and the classification of multiple classes. The underlying theory uses shift-invariant filters to compute distances between the input image and ideal references under an optimum transformation. The original distance-classifier correlation filter was developed for a two-class problem. We introduce a distance-classifier correlation filter that simultaneously considers multiple classes, and we show that the earlier two-class formulation is a special case of the classifier presented. Initial results are presented to demonstrate the discrimination- and distortion-tolerance capabilities of the proposed filter.
authors.forename: A
authors.initials: A
authors.lastname: Mahalanobis
authors.forename: B V
authors.initials: BV
authors.lastname: Vijaya Kumar
authors.forename: S R
authors.initials: SR
authors.lastname: Sims