The ROC SDK version 1.18 is now available to Rank One’s user community! This release is one of the most exciting progressions to Rank One’s face recognition algorithms ever delivered, with substantial accuracy improvements and several new features. Accuracy...
On Thursday, November 29th, 2018, I presented this topic at the National Institute of Standards and Technology (NIST) International Face Performance Conference (IFPC) in Gaithersburg, MD. “And suddenly, face recognition technology was everywhere…”...
One of many critical considerations when selecting a face recognition SDK or system is the accuracy of the underlying algorithm. Even though an algorithm may meet your hardware requirements, licensing budget, support needs, or other decisive factors, if it is not...
Humans have an amazing ability to recognize faces, and artificial intelligence algorithms are slowly matching these capabilities. There is no simple explanation for how humans perform this common cognitive task, which is often referred to “face perception.” Face...
A comprehensive set of definitions and terms used when discussing face recognition technology. This page will be a continuously evolving reference for the basic terminology used when evaluating, integrating, and operating face recognition algorithms. Please let us...
Automated face recognition (FR) is one of the fastest growing and most exciting technologies in the world. In the past several years there has been substantial improvements in the accuracy of FR algorithms, which has in turn fueled the rapid growth in the applications...
