Face recognition using gradient based feature analysis

摘要

Computer-readable storage media, computing devices and methods are discussed herein. In embodiments, a computing device may be configured to perform facial recognition based on gradient based feature extractions of images of faces. In embodiments, the computing device may be configured to determine directional matching patterns of the images from the gradient based feature extraction and may utilize these directional matching patterns in performing a facial recognition analysis of the images of faces. Other embodiments may be described and/or claimed.

主权项

1. An apparatus for computing, comprising:
one or more computing processors; physical memory coupled with the one or more processors; a facial recognition module to be loaded into the physical memory and executed by the one or more processors, to: receive a reference facial feature vector associated with a reference image having a face corresponding to an identifier of a person, wherein the reference facial feature vector includes directional matching patterns of each portions of a grid of a rectangle that encloses a face in the reference image; receive a test facial feature vector associated with an operational image, wherein the test facial feature vector includes directional matching patterns of each portions of a grid of a rectangle that encloses a face in the operational image; analyze the reference facial feature vector against the test facial feature vector of the operational image to determine a level of similarity between the directional matching patterns represented by the reference facial feature vector and the directional matching patterns represented by the test facial feature vector, the analysis further including to:
compare each portion of the operational image grid with a corresponding portion of the reference facial feature vector;identify one or more portions of the operational image grid that have directional matching patterns similar to the corresponding portion of the reference facial feature vector;generate a directional histogram for each identified portion of the one or more portions of the grid; andconcatenate each directional histogram generated into a histogram of local matching directions for the image; and identify the face of the image as the person associated with the identifier, in response to determination that the level of similarity between the directional matching patterns represented by the reference facial feature vector and the directional matching patterns represented by the test facial feature vector is above a threshold of similarity.