Grouping face images using statistic distribution estimate

摘要

A computer-implemented method for sorting face images of different individuals into different groups includes obtaining face images comprising faces of unknown individuals by a computer processor; calculating similarity functions between pairs of face images by the computer processor; joining face images that have values of the similarity functions above a predetermined threshold into a hypothetical face group, wherein the face images in the hypothetical face group hypothetically belong to a same person; conducting non-negative matrix factorization on values of the similarity functions in the hypothetical face group to test truthfulness of the hypothetical face group; and identifying the hypothetical face group as a true face group if a percentage of the associated similarity functions being true is above a threshold based on the non-negative matrix factorization.

主权项

1. A computer-implemented method for recognizing face images, comprising:
storing face models or face images of a known person as training faces in a computer storage; joining a group of testing face images of one or more unknown individuals with a group of training faces that belong to the known person to form a joint face group; calculating similarity functions, by a computer processor, between pairs of testing face images and training faces in the joint face group; conducting non-negative matrix factorization on values of the similarity functions in the joint face group to test truthfulness of the joint face group; and identifying the testing face images to belong to the known person if a percentage of the associated similarity functions being true in the joint face group is above a threshold based on the non-negative matrix factorization.