Patent ID: 9633251
Date: 2017-04-25
CPC Classifications: G06K

Claim:
1. A method for identifying a face, the method comprising: (a) changing an image size for facial identification; (b) converting the image of changed size to an LBP (Local Binary Pattern) domain; (c-1) determining a plurality of patch images for face detection from the converted image according to a first scanning factor in a first axis direction and second scanning factor in a second axis direction and grouping the determined plurality of patch images into N (N>=2) groups according to the first and second scanning factor corresponding to the first and second axis direction respectively, the grouped plurality of patch images being overlapping each other in the second axis direction based on the second scanning factor, wherein a patch image in an i (0<=i<N−2)-th group and a patch image in an i+1-th group are overlapping each other in the first axis direction by the first scanning factor, and the patch images of the i (0<=i<N−2)-the group and the i+1-th group in the first axis direction are different each other just as much as the patch image by the first scanning factor, (c-2) classifying each of the grouped plurality of patch images in the i-th group at a plurality of processing units by using a cascaded classifier having a plurality of test stages to determine whether each of the classified patch images includes a face image, wherein a result value from the cascaded classifier for each of the classified patch images of the i-th group is stored, and (c-3) after finishing the step of (c-2), omitting face image classification for a patch image in the i+1-th group by each of the plurality of processing units on the basis of the result value of i-th group patch image, wherein the i+1-th group patch image and i-th group patch are overlapping in the first axis direction.