Set to set pattern recognition

A method of classifying a data set of related pattern, the method comprising:

• receiving a collection of data sets of labeled images, each labeled image of a data set having a variation of illumination distinguishing the labeled image from other labeled images in the data set;
• mapping each data set of the collection of data sets to a point on a Grassmann manifold;
• mapping a data set of unlabeled images to a point on the Grassmann manifold, each unlabeled image having a variation of illumination distinguishing the unlabeled image from other unlabeled images in the data set;
• computing a similarity measure on the Grassmann manifold between the point mapped from the data set of unlabeled images and each point mapped from the data sets of labeled images;
• if a similarity measure computed on the Grassmann manifold between the point mapped from the data set of unlabeled images and one of the points mapped from a data set of unlabeled images satisfies a similarity criterion evaluated on the Grassmann manifold, attributing the label of the data set mapped to the point satisfying the similarity criterion to the set of unidentified Grassmann manifold.