Rapid development in machine learning and AI technologies have made significant progress in computer vision for object detection and recognition. Yet creating a system that can recognize humor and amusement in people is still a challenging problem for programmers, since comedy and entertainment are subjective and based on personal tastes and cultural context. Thus, it is tricky creating a system that can precisely determine what individuals find amusing or enjoyable.
However, computer vision in facial recognition and identification has made significant progress, widely employed in various applications such as security, surveillance, and biometrics. Facial recognition technology mainly identifies individuals by analyzing and comparing their facial features to a database of known faces. Facial identification involves matching a person’s face to their identity. It employs algorithms to extract face characteristics like the distance between the eyes, nose curves, and the angle of the jawline to generate a distinctive facial signature.