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Image processing method and device

A technology of image processing and face image, applied in the field of image processing, can solve the problems of low clustering recall rate and compression rate, and achieve the effect of mature algorithm and high accuracy rate

Active Publication Date: 2016-06-08
XIAOMI INC
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Problems solved by technology

[0005] In order to overcome the problems of low clustering recall rate and compression rate in related technologies, the present disclosure provides an image processing method and device

Method used

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Embodiment Construction

[0083] 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 invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0084] Combine first Figure 1a-Figure 1d The application scenarios of the image processing method provided by the embodiments of the present disclosure are briefly introduced.

[0085] With the popularization of mobile terminals such as smartphones and tablet computers, more and more users choose to use mobile terminals to take photos. There are a large number of photos stored in the mobile ter...

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Abstract

The invention relates to an image processing method and device, and belongs to the field of image processing. The method comprises the steps that at least two cluster sets are acquired, the at least two cluster sets include a first cluster set and a second cluster set, the first cluster set is the cluster set having identification information, the second cluster set is the cluster set without the identification information, each cluster set includes at least one face image, and the distance between all the face images in the same cluster set is not greater than a first preset threshold; the distance between the second cluster set and the first cluster set is determined; and the second cluster set and the first cluster set of which the distance is not greater than a second preset threshold are combined, and the second preset threshold is greater than the first preset threshold. The recall rate and the compression ratio of the clusters can be enhanced.

Description

technical field [0001] The present disclosure relates to the field of image processing, and in particular to an image processing method and device. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. Using face recognition technology, it is possible to identify the identity of the person in the photo, and classify the photos belonging to the same person into a cluster according to the identity of the person in the photo. [0003] In the process of face recognition, a hierarchical clustering algorithm can be used to judge whether two faces belong to the same person: calculate the distance between the face feature vectors corresponding to the two face images; compare the calculated distance with the distance threshold; If the calculated threshold is not greater than the distance threshold, it is determined that the two face images belong to the same person; if the calculated threshold is greate...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06F18/23G06F18/22
Inventor 陈志军李明浩侯文迪
Owner XIAOMI INC
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