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Face clustering method, device, equipment and storage medium

A clustering method and face technology, applied in the field of face recognition, can solve the problems of heavy workload, poor effect, low applicability, etc., and achieve the effect of small calculation amount and fast convergence speed

Active Publication Date: 2020-01-03
PCI TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the way of artificially defining face feature points is a lot of work and introduces a lot of people's prior experience. General clustering algorithms often achieve better results when doing general numerical clustering tasks, but in the face The effect of clustering in this specific business scenario is poor, and the applicability is low

Method used

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  • Face clustering method, device, equipment and storage medium
  • Face clustering method, device, equipment and storage medium
  • Face clustering method, device, equipment and storage medium

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Embodiment Construction

[0040] The embodiments of the present invention will be further described in detail below in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the embodiments of the present invention, rather than to limit the embodiments of the present invention. In addition, it should be noted that, for the convenience of description, the drawings only show some but not all structures related to the embodiments of the present invention.

[0041] figure 1 It is a flow chart of a face clustering method provided by an embodiment of the present invention. This embodiment is applicable to face clustering. The method can be executed by a computing device such as a server or a computer, and specifically includes the following steps:

[0042] Step S101, training through the face dataset to obtain a trained residual network.

[0043] In some embodiments, the face data set used for training can be a public dat...

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Abstract

The embodiment of the present invention discloses a face clustering method, device, device and storage medium. The method includes training a face data set to obtain a trained residual network; processing the residual network to obtain a face Feature extractor, input the face picture to be classified into the face feature extractor to obtain the corresponding face feature vector of each face picture; calculate the vector distance between each face feature vector and other face feature vectors, according to the The vector distance is used to determine the neighbor face set of each face picture; the neighbor face set of each face picture is determined as a cluster, and the clusters satisfying the preset conditions are merged. This solution improves the efficiency and accuracy of face clustering.

Description

technical field [0001] The embodiments of the present application relate to the technical field of face recognition, and in particular to a face clustering method, device, device, and storage medium. Background technique [0002] This section is intended to provide a background or context to the implementations of the application that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Face clustering refers to grouping faces according to their identities. Usually, face clustering compares all the faces in the set with each other, and then the similarity value obtained according to the comparison will belong to the same identity. People are divided into a group to achieve clustering. [0004] Face clustering calculation usually includes two steps, face feature extraction and clustering using clustering algorithm for the extracted features. Regarding face feature extraction, the traditional feature extr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06F18/23G06F18/22
Inventor 杨东泉丁保剑秦伟刘伟李德紘张少文
Owner PCI TECH GRP CO LTD