In this survey, we compare various facial recognition algorithms objectively and analyze them to find out the best algorithm available. The algorithms will be compared based on the factors: accuracy, architecture, the dataset used to train them, and loss functions. We will compare multiple 2-D facial recognition algorithms such as VGG19, Facenet by Google, Deep face by Facebook, Alexnet, and Local Binary Pattern Histogram (LBPH) and 3-D facial recognition algorithms based on LBP and amalgamation of various Techniques. We will also observe how big data is utilized in the training of facial recognition algorithms.