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Face recognition confidence value mapping algorithm

A technology of face recognition and confidence value, applied in the field of face recognition, can solve the problems of cumbersome adjustment and high professional requirements, achieve the best effect and improve the accuracy

Pending Publication Date: 2020-01-17
天津天地伟业机器人技术有限公司
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Problems solved by technology

This leads to cumbersome adjustment and high professional requirements

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Embodiment Construction

[0026] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0027] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0028] Such as figure 1 As shown, the face recognition confidence value mapping algorithm includes the following steps:

[0029] A. The face recognition model evaluates the test samples to obtain the recognition rate and false recognition rate data;

[0030] B. data fitting is carried out to the recognition rate obtained in step A and the false recognition rate;

[0031] C. Select data segment mapping;

[0032] D. Perform output score mapping according to the fitted formula.

[0033] In the step A, use the face recognition model to evaluate the recognition rate and false recognition rate of the test sample, and obtain the corresponding recognition rate and false recognition rate of e...

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Abstract

The invention provides a face recognition confidence value mapping algorithm. The face recognition confidence value mapping algorithm comprises the following steps that a face recognition model evaluates a test sample to obtain a recognition rate and false recognition rate data; data fitting is performed on the recognition rate and the false recognition rate; data segment mapping is selected; andoutput score mapping is performed according to the fitted formula. The face recognition confidence value mapping algorithm has the advantages that after different algorithms are replaced for the product, and external parameters do not need to be modified at all, and only the algorithm needs to be used for mapping the recognition effect of the product, and the expected effect of the algorithm can be achieved, and the accuracy of face recognition is improved.

Description

technical field [0001] The invention belongs to the field of face recognition, and in particular relates to a face recognition confidence value mapping algorithm. Background technique [0002] With the development of deep learning technology, the recognition rate of face recognition algorithms has surpassed that of humans in many occasions. Face recognition algorithms are widely used in various products. Due to different algorithm manufacturers or model iterations, the default confidence value of the recognition algorithm input is constantly changing, so the upper system will continue to debug different algorithms to achieve the best results. This leads to cumbersome adjustment and high professional requirements. Contents of the invention [0003] In view of this, the present invention aims to propose a face recognition confidence value mapping algorithm to solve the shortcomings of the above problems. [0004] In order to achieve the above object, technical solution of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/172
Inventor 王汝杰王志保陈澎祥李森慈红斌
Owner 天津天地伟业机器人技术有限公司
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