Acquiring method, application method and application system of final classifier

Abstract

The invention discloses a human face set matching method and system based on similarity learning. Training set samples and testing set samples are selected from original data samples, training samples are selected, the true similarity is calculated and is compared with the worked out calculation similarity, and then a final classifier is selected; the geometric mean of each type of training samples and all of testing samples in the testing set samples are substituted into the final classifier, classifying results are obtained, and then the categories of the testing samples are obtained. According to the scheme, part of samples are selected as the training samples to carry out training, classifiers are selected, and therefore it is avoided that all samples serve as the training samples to be trained, the training process is simplified, the complex process is avoided, and the training speed is improved. In addition, according to the scheme, the geometric mean of each type of samples in the training set samples is selected to construct a plurality of different classifiers, and the effect of the accurate result through the simple operating process is achieved.

Description

technical field [0001] The present invention relates to the field of classifiers and face matching, in particular to a method for obtaining a final classifier based on similarity learning and a face set matching method and system using the final classifier. Background technique [0002] In traditional computer vision classification systems, the training and testing process of the target usually uses a single image. [0003] However, using a single image as the input of a camera and a large-capacity storage device for its training and testing, its recognition effect is more sensitive to illumination, posture, expression, etc., and the robustness of the system is weak. [0004] Therefore, in order to solve the problem of weak robustness of the system brought about by the matching method of using a single image as the input of the device for its training and testing, those skilled in the art adopt the matching method and system of using the image set as the overall input , com...

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention provides a method for obtaining a final classifier based on similarity learning and a face set matching method and system for applying the final classifier, so as to solve the slow execution speed of the classifier in the prior art, and For the problem of cumbersome implementation process, the specific solution is as follows:

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