Patent ID: 11908211
Assignee: WEST TEXAS TECHNOLOGY PARTNERS, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A method, comprising:
capturing a plurality of two-dimensional learning images of a learning subject, each of said learning images exhibiting a learning subject aspect and a learning subject illumination, said learning subject aspects and said learning subject illuminations varying among said learning images;
communicating said learning images to a processor;
determining in said processor a substantially three-dimensional learning model of said learning subject from said learning images, said learning model exhibiting said learning subject aspects and said learning subject illuminations;
capturing a two-dimensional gallery image of each of a plurality of gallery subjects, each of said gallery images exhibiting a gallery subject aspect and a gallery subject illumination, said gallery subject aspects and said gallery subject illuminations being at least substantially consistent among said gallery images;
communicating said gallery images to said processor;
determining in said processor a substantially three-dimensional gallery model of each of said gallery subjects from said gallery images, said gallery models exhibiting respective gallery subject aspects and gallery subject illuminations;
capturing a two-dimensional query image of a query subject, said query image exhibiting a query subject aspect and a query subject illumination, at least one of said query subject aspect and said query subject illumination being at least substantially inconsistent with said substantially consistent gallery subject aspects and gallery subject illuminations among said gallery Images;
communicating said query image to said processor;
determining in said processor a three-dimensional query model of said query subject from said query image, said query model exhibiting said query subject aspect and said query subject illumination;
determining in said processor a pre-transform for said query model in combination with said learning model so as to yield a transformed query model, wherein a transformed query subject aspect of said transformed query model approaches correspondence with said substantially consistent gallery subject aspects and a transformed query subject illumination of said transformed query model approaches correspondence with said substantially consistent gallery subject illuminations;
determining in said processor a transform as an inverse of said pre-transform, such that a transformed gallery subject aspect of a transformed gallery model approaches correspondence with said query subject aspect of said query model and a transformed gallery subject illumination approaches correspondence with said query subject illumination;
applying said transform to at least one of said gallery models in said processor to yield at least one said transformed gallery model;
for each of said at least one transformed gallery models, determining in said processor a two-dimensional transformed gallery image exhibiting said transformed gallery subject aspect and said transformed gallery subject illumination; and
comparing said at least one transformed gallery image against said query image in said processor so as to determine whether said query subject is said gallery subject in said at least one transformed gallery image.