Within the field of computer vision, facial recognition is an area of research and development which deals with giving machines the ability to recognize and verify human faces. Researchers primarily work on creating face recognition technology that can improve businesses and better human lives. To help strengthen your understanding of the technology, this guide will explain what facial recognition is, how it works, its various applications, and how accurate it is today. Facial recognition software has countless applications in consumer markets, as well as the security and surveillance industries. In fact, facial recognition technology is already being used to improve security protocols and payment procedures in China, and it is possible that the rest of the world will follow suit.
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If you are already using a pre-curated dataset, such as Labeled Faces in the Wild (LFW), then the hard work is done for you. You'll be able to use next week's blog post to create your facial recognition application. But for most of us, we'll instead want to recognize faces that are not part of any current dataset and recognize faces of ourselves, friends, family members, coworkers and colleagues, etc. To accomplish this, we need to gather examples of faces we want to recognize and then quantify them in some manner. This process is typically referred to as facial recognition enrollment.