Face detection: In the first part, the Harr-like feature is used to represent the human face, and the "integral graph" is used to realize the fast calculation of feature values; In the second part, the Adaboost algorithm is used to select some rectangular features (weak classifiers) that represent the human face, and the weak classifier is constructed into a strong classifier according to weighted voting; In the third part, a series of strong classifiers are formed in series to form a cascade classifier with cascading structure, and the cascade structure can effectively improve the detection speed of classifier.

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