Person-Independent Deformable Templates for Fast Face Recognition

Abstract

A face tracking and recognition system has been developed based on deformable template matching [1]. Person-dependent deformable templates are used for recognition, and person-independent deformable templates for tracking. The computational load associated with recognition is greater than that associated with tracking, because the number of person-dependent templates that must be deformed and matched against the input frame is equal to the number of registered individuals, whereas there is only a single person-independent template (per pose cell) for tracking. In this work, we show how person-independent templates can be used for recognition as well as tracking, resulting in a substantial reduction in the computation associated with recognition in the system of [1] (and potentially by extension in similar systems), at relatively small cost in recognition performance.