1. A method, performed by an ingestion system including one or more servers for enrollment and web crawling, for creating a searchable database of feature vectors representing images of a faces, the method comprising: receiving an image of a face; detecting landmarks on the image of the face and associating the detected landmarks with points; subjecting the points to a transformation; aligning a portion of the image of the face in accordance with the transformation; performing texture mapping on the portion of the image of the face; computing a first vector based on the portion of the image of the face; creating a second vector based on a similarity of the first vector to each of a predetermined number of a first plurality of vectors; generating a feature vector by concatenating the second vector with a second plurality of vectors, wherein the second vector and each of the second plurality of vectors each correspond to a respective portion of the image of the face; and storing the feature vector, along with associated metadata as part of a gallery file, in a database.
8. The method of claim 1 , comprising: subjecting the feature vector to principal component analysis.