IGO-CNRC

competitive non-negative representation based classification with image gradient orientations (IGO-CNRC)

The schematic diagram of our proposed IGO-CNRC is shown as follows,



This demo is for face recognition with sunglasses on the AR dataset. We use seven neutral images plus one image with sunglasses (randomly chosen) from Session 1 for training (eight training images per class), and the remaining neutral images (all from Session 2) and the rest of the images with sunglasses (two taken from Session 1 and three from Session 2) for testing (twelve test images per class).

Run demo_AR_sunglasses.m with MATLAB, you can obtain the following result:
Accuracy of IGO_CNRC (1st) is 94.8%
Accuracy of IGO_CNRC (2nd) is 94.3%
Accuracy of IGO_CNRC (3rd) is 91.6%
Accuracy of IGO_CNRC is 97.4%