Analysis of the training parameters of cascade classifier to find elements of a face

The task of deninition of the location of the elements of a face on the digital image is actual in many spheres of knowledge.One of the approaches to solve it is the method of building the cascade of classifiers. The efficiency of this approach depends on the choice of the parameters of the model. This research observes the method allowing to obtain the optimal parameters of training when the best indicators of exactness of detecting while reducing the falsepositive results are reached. As the result of application of the method, using as the example revealing of the exterior angle of the right eye, the practical indicators of the parameters of training were obtained.