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Image processing method and device and electronic equipment

An image processing and image technology, applied in the field of image processing, can solve the problems of high cost and large resource consumption, and achieve the effect of low cost, real and more accurate try-on effect

Pending Publication Date: 2021-08-17
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This solution can obtain a relatively real fitting effect, but it is expensive and requires a lot of resources

Method used

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  • Image processing method and device and electronic equipment
  • Image processing method and device and electronic equipment
  • Image processing method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0091] First, the first embodiment provides an image processing method, see figure 2 , the method may specifically include:

[0092] S201: Determine the first image including the human body image, and the second image including the commodity object body image;

[0093] Wherein, the first image specifically including the human body image may be a photo, video, etc. of a specific person, and the second image may be a picture of a specific product object. Specifically, the first image may be a photo, video, etc. uploaded by a user. The second image may be a product image provided by a merchant or a seller user, or may be a qualified product image automatically extracted from a product object information database, and the like.

[0094] S202: Perform human body posture estimation and human body part analysis on the human body image in the first image;

[0095] After the specific first image and the second image are determined, first, human body pose estimation and human body p...

Embodiment 2

[0113] In the foregoing first embodiment, in one case, a specific synthetic image may be generated by synthesizing a network model. During specific implementation, the synthesis network model can be trained in advance through a large number of training samples, so that the parameters in the model can be optimized, and then can be applied to a specific image synthesis process. Therefore, Embodiment 2 of the present application also provides an image synthesis network model training method, see Figure 6 , the method may specifically include:

[0114] S601: Obtain a training sample, the training sample includes a plurality of first images containing human body images, and a second image containing commodity object ontology images;

[0115] S602: Perform human body posture estimation and human body part analysis on the human body image in the first image;

[0116] S603: According to the target part information of the product object and the analysis result of the human body part...

Embodiment 3

[0125] The third embodiment introduces the solutions provided by the embodiments of the present application from the perspective of specific applications. Specifically, the application scenario in the third embodiment may be that in the product object sales system, when the first user (for example, buyer user, consumer user, etc.) has a virtual try-on requirement, the server of the system can provide the Provide specific virtual try-on effects. Specifically, from the perspective of system architecture, the system may involve the server of the product object sales system and the client provided to the first user. see Figure 7 , the third embodiment mainly provides a method for providing virtual try-on effect information from the perspective of the aforementioned server end, and the method may specifically include:

[0126] S701: The server receives the virtual try-on request information submitted by the first user client;

[0127] During specific implementation, the server ...

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Abstract

The embodiment of the invention discloses an image processing method and device and electronic equipment. The method comprises the steps: determining a first image containing a human body image and a second image containing a commodity object body image; performing human body posture estimation and human body part analysis on a human body image in the first image; and according to a human body posture estimation result corresponding to the human body image and a human body part analysis result, performing deformation processing on the commodity object body image in the second image, and matching the commodity object body image after deformation processing to a corresponding target part in the human body image to generate a composite image. According to the embodiment of the invention, a more real and more accurate try-on effect can be obtained at a lower cost.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image processing method, device and electronic equipment. Background technique [0002] In the commodity object information service system, the commodity object information of clothing is one of the very important categories. Consumer users can browse detailed information, user evaluation information, etc. of apparel commodity objects through a specific client, and can make online purchases if they meet their needs. [0003] However, one of the pain points in the process of online purchasing of clothing items by users is that it is difficult to determine the upper body effect of a specific item. Although some specific upper body effect information can be obtained through the evaluation information provided by other purchased users and the photos uploaded in the "Buyer Show" and other information, the photos uploaded by other users have differences in shooti...

Claims

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Application Information

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IPC IPC(8): G06T19/20G06T19/00G06Q30/06
CPCG06Q30/0643G06T19/006G06T19/20G06T2210/16G06T2219/2021
Inventor 汪春奇吴国华马飞张佶赵中州唐鑫
Owner ALIBABA GRP HLDG LTD
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