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A face recognition method and system based on online learning

A technology of the first human face and human face, which is applied in the field of face recognition in online learning

Pending Publication Date: 2019-04-26
GORILLA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In addition, when using old photos to find specific people such as fugitives, it is difficult to use old photos of fugitives to compare pedestrians in the past or people in a certain environment

Method used

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  • A face recognition method and system based on online learning
  • A face recognition method and system based on online learning
  • A face recognition method and system based on online learning

Examples

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Embodiment Construction

[0020] The aforementioned and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of preferred embodiments with reference to the drawings. However, it should be noted that the following examples are not intended to limit the present invention.

[0021] Different from the deep learning that uses massive data offline, the online learning mechanism means that in addition to obtaining discriminative facial features through offline learning, when using it online, through the online learning mechanism, learn the facial features of each specific person. face classifier. In the present invention, the face features can be learned offline using a large number of face images through the method of deep learning, so as to learn the expression of the face features; however, in practical applications, the face features are not limited to the use of Facial features acquired by deep learning or other tradition...

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Abstract

The invention discloses a face recognition method based on online learning. The method comprises the following steps: capturing a plurality of first face images under a specific situation; Respectively calculating the similarity between each first face image and each target image in at least one target image to respectively form similarity distribution of the plurality of first face images relative to the target image; And respectively determining a similarity critical value relative to each target image according to a preset rule and each similarity distribution, so as to subsequently selecta person of which the similarity relative to one target image is greater than the similarity critical value of the target image under the specific situation.

Description

technical field [0001] The invention relates to a face recognition method, in particular to an online learning face recognition method. Background technique [0002] In recent years, face recognition technology has developed vigorously, especially after the introduction of deep learning methods. Compared with the methods used in the past, face recognition technology using deep learning has pushed face recognition applications to a new level, such as access control Surveillance, photo classification, etc. Although face recognition technology has made great progress in recent years, it is still easily affected by factors such as situational light sources, face angles, and expressions in practical applications. The recognition rate and false positive rate obtained in different situations vary greatly. For example, the current face recognition technology that uses deep learning methods generally uses face databases published on the Internet, most of which are Westerners. Types...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06V40/172G06F18/22
Inventor 蓝元宗倪嗣尧
Owner GORILLA TECH
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