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Method and system for matching groups and friends based on situational photos

A scenario and group technology, applied in character and pattern recognition, instruments, data processing applications, etc., can solve the problems of friend recommendation privacy leakage and other issues, and achieve the effect of expanding the circle of friends and protecting privacy

Pending Publication Date: 2022-08-09
ANHUI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a method and system for matching groups and friends based on scene-based photos, which solves the technical problem of privacy leakage in friend recommendation in the prior art, realizes the use of user faces to create virtual identities, and creates virtual identities based on virtual The identity matches the preset situation group. By obtaining friend recommendations in the situation group, the activities of the entire system are based on virtual identities, which is better for user privacy protection.

Method used

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  • Method and system for matching groups and friends based on situational photos
  • Method and system for matching groups and friends based on situational photos
  • Method and system for matching groups and friends based on situational photos

Examples

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Embodiment 1

[0025] figure 1 It is a method for matching groups and friends based on a situational photo in the embodiment of the present application, which will be described in detail below through specific steps.

[0026] S1: Acquire a user's face picture, and perform recognition and detection on the user's face picture.

[0027] In a specific implementation, the face picture can be uploaded by the user, and there are two ways to upload the picture, one is to upload a locally stored picture, and the other is to shoot the image in real time.

[0028] In specific implementation, as figure 2 As shown, the recognition and detection of the user's face picture includes the following steps:

[0029] S11: Detect whether there is a human face in the user's face picture and whether there are multiple human faces.

[0030] When there is no face or there are multiple faces, it means that the user's face picture does not meet the requirements, and the user needs to re-upload the face picture.

...

Embodiment 2

[0062] refer to Figure 4 As shown, an embodiment of the present application provides a system for matching groups and friends based on contextual photos, and the system for matching groups and friends includes: an acquisition and identification detection unit, a matching unit, a contextual group push unit, a group Internal friend push unit, theme photo library generation unit, division unit, corresponding unit.

[0063] The acquisition and identification detection unit is configured to acquire a user's face picture, and perform identification detection on the user's face picture;

[0064] The matching unit is configured to obtain the virtual identity of the user by matching;

[0065] The context group pushing unit is configured to push a context group conforming to the virtual identity to the user according to the virtual identity;

[0066] The in-group friend pushing unit is configured to recommend the in-group friends in the context group to the user;

[0067] The subjec...

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Abstract

The invention discloses a method and system for matching groups and friends based on situational photos, and the method comprises the following steps: obtaining a user face picture, and carrying out the recognition and detection of the user face picture; matching to obtain a virtual identity of the user; pushing a scene group conforming to the virtual identity to the user according to the virtual identity; recommending friends in the scene group to the user; wherein the generation of the scene group comprises the following steps: a generative adversarial network is utilized to generate a plurality of theme photo libraries, and each theme photo library corresponds to a scene theme; dividing each scene theme into a plurality of specific scene tags; and enabling each scene label to correspond to one scene group. According to the method and the device, the virtual identity is created by utilizing the face of the user, the preset scene group is matched according to the virtual identity, the friend recommendation is acquired in the scene group, the activity of the whole system is based on the virtual identity, and the privacy protection of the user is relatively good.

Description

technical field [0001] The present application relates to the field of social application software, in particular to a method and system for matching groups and friends based on situational photos. Background technique [0002] Faces have natural social attributes, and related face applications and algorithms have sprung up in an endless stream. The development of artificial intelligence technology represented by generative adversarial networks has opened up a new world for the processing of face pictures. Processing, adversarial neural networks have powerful image generation and style memory capabilities. Among them, face recognition applications are also used in the social field. In the social field, how to enable strangers to quickly establish reliable connections is the most fundamental problem of a social software. At present, the commonly used friend recommendation methods are to recommend people you may know according to the number of common friends, or to obtain use...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/32G06F21/36G06F21/62G06F16/583G06F16/58G06V40/16G06V10/74G06K9/62G06Q50/00
CPCG06F21/32G06F21/36G06F21/6245G06F16/583G06F16/5866G06Q50/01G06F18/22
Inventor 陈鹏王刘向章军夏懿王兵黄林生梁栋
Owner ANHUI UNIVERSITY
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