Apple started using deep learning for face detection in iOS 10. With the release of the Vision framework, developers can now use this technology and many other computer vision algorithms in their ...

SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

Face detection software has slowly crept into mainstream use, from Facebook photo tagging to Android phone unlocking, but new research looks set to move the technology on significantly. Scientists ...

Back in 2001, two computer scientists, Paul Viola and Michael Jones, triggered a revolution in the field of computer face detection. After years of stagnation, their breakthrough was an algorithm ...

Machine vision. Machine learning. ... Their study tested four facial recognition algorithms—two commercial and two open source—on 53,000 mugshots.

The team, led by Andreas Rossler at the Technical University of Munich, developed machine learning that is able to automatically detect when videos are face swapped. They trained the algorithm ...

Case in point: Apple’s new Face ID technology, which will debut on the iPhone X.The device will project up to 30,000 dots on your face to create a 3D map. The data will be processed using a new ...