Face recognition : One of Microsoft’s goal with Windows 10 is to kill passwords

[LacrimoJi]

 

 

One of Microsoft’s goal with Windows 10 is to kill passwords, and it hopes to do so with face, fingerprint and iris authentication. Laptops with Intel’s RealSense 3D camera will be able to recognize faces and use that capability to log users in to Windows. The first iteration of the depth-sensing camera is already in a handful of tablets and PCs, and the next version of the camera, expected to be in Windows 10 PCs, will do a better job of recognizing objects, measuring distances and even taking selfies.

 

ome facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face recognition. A probe image is then compared with the face data . One of the earliest successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation. Recognition algorithms can be divided into two main approaches, geometric, which looks at distinguishing features, or photometric, which is a statistical approach that distills an image into values and compares the values with templates to eliminate variances. Po[CENSORED]r recognition algorithms include Principal Component Analysis using eigenfaces, Linear Discriminate Analysis, Elastic Bunch Graph Matching using the Fisherface algorithm, the Hidden Markov model, the Multilinear Subspace Learning using tensor representation, and the neuronal motivated dynamic link matching.