LEARNING AN ADAPTIVE THRESHOLD AND CORRECTING TRACKING ERROR FOR FACE REGISTRATION

摘要

There are provided a system and a method for performing user registration in a face recognition system. Image flows are extracted from a sequence of images by following inter-frame constraints, i. e. within a scene, the position of an individual is approximately constant and his/her face should be detected in subsequent frames roughly in the same position, and intra-frame constraints, i. e. images appearing in the same frame must belong to different individuals. Thresholds that are used to classify image flows are updated according to the extracted image flows. Existing classification is updated using the extracted image flows and the updated threshold, including class merging and class splitting, thus correcting the tracking errors in previous image extractions.