Building a face recognizer using Local Binary Patterns Histogram

We are now ready to build a face recognizer. We need a face dataset for training, so we've provided you a folder called faces_dataset that contains a small number of images sufficient for training. This dataset is a subset of the dataset that is available at http://www.vision.caltech.edu/Image_Datasets/faces/faces.tar. This dataset contains a good number of images that we can use to train a face-recognition system.

We will use Local Binary Patterns Histograms to build our face-recognition system. In our dataset, you will see different people. Our job is to build a system that can learn to separate these people from one another. When we see an unknown image, this system will assign it to one of the existing classes. You can learn more about Local Binary Patterns Histogram at http://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html#local-binary-patterns-histograms. Let's see how to build a face recognizer...