With the development of computer vision, machine learning, and deep learning, face recognition has become a hot topic. Face recognition can be applied to a wide range of uses, including crime prevention, surveillance, forensic applications, biometrics, and, more recently, in social networks. Automatic face recognition has various challenges, such as occlusions, appearance variations, expression, aging, and scale variations. Following its success with object recognition, CNNs have been widely used for face recognition.
In this chapter, we will see the functionality that OpenCV offers in connection with face recognition, and will also explore some deep learning approaches, which can be easily integrated into your computer vision projects to perform state-of-the-art face recognition results.
