Face Detector Training Method, Face Detection Method, and Apparatuses

摘要

A face detector training method, a face detection method, and apparatuses are provided. In the present invention, during a training phase, a flexible block based local binary pattern feature and a corresponding second classifier are constructed, appropriate second classifiers are searched for to generate multiple first classifiers, and multiple layers of first classifiers that are obtained by using a cascading method form a final face detector; and during a detection phase, face detection is performed on a to-be-detected image by using a first classifier or a face detector that is learned during a training process, so that a face is differentiated from a non-face, and a face detection result is combined and output.

主权项

1. A face detector training method, comprising:
performing a training process by:
collecting face and non-face images as a training image sample set;extracting a flexible block based local binary pattern (FBLBP) feature of the face and non-face images to form an FBLBP feature set; andusing the FBLBP feature and a GentleBoost algorithm to perform training, to obtain a first classifier, wherein the first classifier comprises several optimal second classifiers, and each optimal second classifier is obtained by training by using the GentleBoost algorithm; repeating the training process to obtain multiple layers of first classifiers; and cascading the multiple layers of first classifiers to form a face detector.