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. Part of samples are selected as 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, dimensional reduction processing is carried out on training set samples so that dimensional reduction training samples are obtained, the calculation complexity is prevented from being increased from high dimensional data, the training period is shortened, 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 problem of slow execution speed of classifiers in the prior art, high The increase in computational complexity brought about by dimensional data leads to cumbersome execution and longer cycles. The specific solutions are as follows:

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