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Ow wait, you are mixing two things up.

• On the one hand you have LBP histograms, used for recognition for example.
• On the other hand you have LBP features, that are fed to AdaBoost, a boosting process to create a cascade of weak classifiers (binary stump trees by default)

If you want a step by step explanation of the process, I suggest you to grab Chapter 5 of OpenCV 3 Blueprints! It goes through the process step by step.