US2022004765A1PendingUtilityA1

Image processing method and apparatus, and storage medium

Assignee: TENCENT TECH SHENZHEN CO LTDPriority: Aug 4, 2017Filed: Sep 17, 2021Published: Jan 6, 2022
Est. expiryAug 4, 2037(~11 yrs left)· nominal 20-yr term from priority
G06Q 10/40H04L 51/52G06V 20/41G06V 40/171G06F 16/784G06V 20/20G06V 40/10G06T 19/006G06V 20/30G06T 15/205G06Q 30/0277G06F 16/5854G06V 10/95G06F 16/587H04L 51/04G06F 16/9536G06Q 50/01G06K 9/00362G06K 9/00281G06K 9/00671
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Claims

Abstract

An image processing method and apparatus, and a storage medium are provided. The method includes: recognizing a feature of a real object from obtained image data, the image data describing an environment of a local client that includes the real object or an environment of a peer client that includes the real object; querying a server providing services to a social network by using the feature of the real object; determining that the real object has a corresponding attribute in the social network; obtaining an augmented reality (AR) model adaptive to the real object based on the attribute of the object in the social network; rendering a first image according to the obtained image data; and rendering a virtual object in the AR model according to a position of the real object in the first image, to jointly display the real object and the virtual object.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An image processing method, applied to a local client, the method comprising:
 recognizing a real object in image data, the image data describing an environment of the local client or an environment of a peer client;   obtaining a virtual object according to the real object in the image data, the virtual object being different than the real object; and   displaying the real object and the virtual object.   
     
     
         2 . The image processing method according to  claim 1 , further comprising:
 capturing the image data via a scanning function of the local client.   
     
     
         3 . The image processing method according to  claim 1 , wherein the real object includes an image of at least a portion of a face of a user of the local client or a user of the peer client. 
     
     
         4 . The image processing method according to  claim 3 , wherein the virtual object is obtained by:
 uploading the image data to a face recognition server; and   receiving from the face recognition server the virtual object corresponding to a social network account in a social network, the face recognition server being disposed in the social network.   
     
     
         5 . The image processing method according to  claim 4 , further comprising:
 prior to uploading the image data to the face recognition server, querying the local client for the virtual object according to the real object;   determining the querying the local client fails; and   uploading the image data to the face recognition server in response to determining the querying the local client fails.   
     
     
         6 . The image processing method according to  claim 3 , further comprising:
 detecting image feature points in the image data; and   determining that a quantity of the image feature points exceeds a feature point quantity threshold.   
     
     
         7 . The image processing method according to  claim 1 , wherein the real object includes an image other than an image of any portion of a face of a user of the local client or a user of the peer client. 
     
     
         8 . The image processing method according to  claim 1 , wherein the real object corresponds to a shared object of a social network, and the virtual object includes an advertisement on the shared object in the social network. 
     
     
         9 . The image processing method according to  claim 1 , further comprising:
 detecting a pose change of the real object in the image data; and   obtaining the virtual object according to the pose change.   
     
     
         10 . An image processing client, comprising: a memory storing computer program instructions;
 and a processor coupled to the memory and configured to execute the computer program instructions and perform:   recognizing a real object in image data, the image data describing an environment of the image processing client or an environment of a peer client;   obtaining a virtual object according to the real object in the image data, the virtual object being different than the real object; and   displaying the real object and the virtual object.   
     
     
         11 . The image processing client according to  claim 10 , wherein the processor is configured to execute the computer program instructions and further perform:
 capturing the image data via a scanning function of the image processing client.   
     
     
         12 . The image processing client according to  claim 10 , wherein the real object includes an image of at least a portion of a face of a user of the image processing client or a user of the peer client. 
     
     
         13 . The image processing client according to  claim 12 , wherein the virtual object is obtained by:
 uploading the image data to a face recognition server; and   receiving from the face recognition server the virtual object corresponding to a social network account in a social network, the face recognition server being disposed in the social network.   
     
     
         14 . The image processing client according to  claim 13 , wherein the processor is configured to execute the computer program instructions and further perform:
 prior to uploading the image data to the face recognition server, querying the image processing client for the virtual object according to the real object;   determining the querying the image processing client fails; and   uploading the image data to the face recognition server in response to determining the querying the image processing client fails.   
     
     
         15 . The image processing client according to  claim 12 , wherein the processor is configured to execute the computer program instructions and further perform:
 detecting image feature points in the image data; and   determining that a quantity of the image feature points exceeds a feature point quantity threshold.   
     
     
         16 . The image processing client according to  claim 10 , wherein the real object includes an image other than an image of any portion of a face of a user of the local client or a user of the peer client. 
     
     
         17 . The image processing client according to  claim 10 , wherein the real object corresponds to a shared object of a social network, and the virtual object includes an advertisement on the shared object in the social network. 
     
     
         18 . The image processing client according to  claim 10 , wherein the processor is configured to execute the computer program instructions and further perform:
 detecting a pose change of the real object in the image data; and   obtaining the virtual object according to the pose change.   
     
     
         19 . A non-transitory computer-readable storage medium storing computer program instructions executable by at least one processor to perform:
 recognizing, by a local client, a real object in image data, the image data describing an environment of the local client or an environment of a peer client;   obtaining, by the local client, a virtual object according to the real object in the image data, the virtual object being different than the real object; and   displaying, by the local client, the real object and the virtual object.   
     
     
         20 . The storage medium according to  claim 19 , wherein the computer program instructions further cause the at least one processor to perform:
 capturing the image data via a scanning function of the local client.

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