Building Computer Vision Projects with OpenCV 4 and C++

Collecting faces and learning from them

Collecting faces can be just as simple as putting each newly preprocessed face into an array of preprocessed faces from the camera, as well as putting a label into an array (to specify which person the face was taken from). For example, you could use 10 preprocessed faces of the first person and 10 preprocessed faces of a second person, so the input to the face recognition algorithm will be an array of 20 preprocessed faces, and an array of 20 integers (where the first 10 numbers are 0 and the next 10 numbers are 1).

The face recognition algorithm will then learn how to distinguish between the faces of the different people. This is referred to as the training phase, and the collected faces are referred ...