Patent ID: 8842891
Filing Date: 2014-09-23
Classification: G06K

Abstract:
1. A method comprising: receiving a plurality of images depicting a subject for each of a plurality of known subjects; deriving, by a processor, a common component image associated with the subject for each known subject based on the received plurality of images depicting the subject, said common component image capturing one or more features common to all images in the plurality of images; deriving, by the processor, a gross innovation component image associated with the subject for each known subject based on the received plurality of images depicting the subject, said gross innovation component image capturing a combination of one or more features unique to respective images of the plurality of images; deriving, by the processor, a low-rank data matrix associated with each known subject, said low-rank data matrix capturing an illumination component of each image of the plurality of images; storing, in a database, the common component image, the gross innovation component image, and the low-rank data matrix associated with each known subject; receiving a new input image depicting an unknown subject; and identifying the unknown subject based at least in part on the stored common component image and the gross innovation component image associated with each of the plurality of known subjects, wherein identifying the unknown subject further comprises, for each of the plurality of known subjects: