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Face clustering method and device

A technology of clustering method and density clustering algorithm, which is applied in the field of face clustering method and device, can solve the problem of clustering wrong photo class A and photo class B, and achieve the effect of improving accuracy

Active Publication Date: 2019-05-21
XIAOMI INC
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Problems solved by technology

[0004] In order to solve face clustering, if there are other face photos corresponding to wrong faces in photo class A in photo class B, photo class A and photo class B may be mistakenly clustered into the same For problems in the photo category, the present disclosure provides a face clustering method and device

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  • Face clustering method and device
  • Face clustering method and device

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Embodiment Construction

[0060] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0061] There are many face clustering methods, such as: partition clustering method, hierarchical clustering method, density clustering method, grid clustering method, model clustering method. Among them, the main guiding idea of ​​the density clustering method is that when the density of a point in a certain area is greater than a certain threshold, the point is added to the cluster c...

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Abstract

The disclosure discloses a face clustering method and device, belonging to the field of face recognition. The face clustering method includes: obtaining the first photo category and the second photo category; clustering the face photos in the first photo category to obtain at least one photo subcategory; The class is determined as the correct face subclass; calculate the distance between the correct face subclass and the second photo class; if the distance is greater than the threshold, the first photo class and the second photo class are clustered to different photo classes respectively; When clustering faces, if there are other face photos corresponding to the wrong face in the first photo class in the second photo class, it is possible to mistakenly cluster the first photo class with the second photo class To the problem of the same photo class; to avoid a photo class when clustering because of a small number of wrong face photos, introduce more clustering errors of wrong face photos, and improve the accuracy of face clustering.

Description

technical field [0001] The present disclosure relates to the field of face recognition, in particular to a face clustering method and device. Background technique [0002] The face clustering method is a method of clustering similar faces based on facial features. In a photo management program, photos corresponding to different faces can be clustered by a face clustering method, thereby forming different photo albums. [0003] A face clustering method in the related art, comprising: first, initializing each photo as a photo class; second, calculating the distance between any two photo classes according to the feature vector of each photo; Third, if the distance between the two photo classes is less than the threshold, the two photo classes are clustered into the same photo class; the above second and third steps are iterated. However, in the clustering process, if there are several wrong face photos in photo class A, and there are many other face photos corresponding to th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/172
Inventor 陈志军李明浩侯文迪
Owner XIAOMI INC
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