1. A computer-implemented method, implemented by hardware in combination with software, the method comprising: for each particular template image of a plurality of template images: (A) determining a set of feature points associated with a template image; (B) for each particular test image of a plurality of test images: (B)(1) attempting to match a particular set of feature points associated said particular test image with the set of feature points associated with the template image; (C) for at least some test images of said plurality of test images: evaluating said determining in (B) to determine (i) a first set of true positive is matches in said test images of said at least a portion of said template image in said particular test image, and (ii) a second set of non-matched images in said test images in which a portion of said template image is not considered to be in said particular test image; (D) training a classifier using (i) said first set of true positive matches, and (ii) ; and said second set of non-matched images; and (E) associating said classifier with said template image.