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Imaging method for virtual fitting

An imaging method and a technology for virtual fitting, applied in image analysis, image data processing, data processing applications, etc., can solve the problem of not being able to see the effect of dressing in 360°, saving fitting time and fitting efficiency. The effect of enhancement, style and quantity increase

Inactive Publication Date: 2018-10-12
南京衣谷互联网科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with virtual modeling, this method can solve the problem of fitting reality very well, but the fitting effect is only two-dimensional, and the dressing effect cannot be seen at 360°

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Embodiments of the present invention will be described in detail.

[0028] This method is divided into manufacturer side, customer side and cloud. Manufacturers use the clothing data collection device to collect pictures of different clothing in all directions according to different sizes. According to the clothing measurement rules, the collected pictures are analyzed to obtain the clothing data corresponding to each area of ​​the human body and key points that need to be marked. For example, according to the clothing measurement rules, the length of the arm should be collected in the human body characteristic value, that is, the distance from the shoulder to the wrist. The corresponding key points in the clothing picture are the coordinate values ​​corresponding to the upper and lower ends of the sleeves of the clothing. These annotation information are included in the clothing data picture of the clothing. The manager manually inputs the label of the garment, and s...

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PUM

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Abstract

The invention relates to an imaging method for virtual fitting. The imaging method comprises the following steps of: 1, establishing a human body AI model by utilizing label information of a clothingmeasurement rule and training the model on the basis of a Mask-RCNN; 2, obtaining a clothing data picture according to the label information of the clothing measurement rule and string the clothing data picture into a database; 3, obtaining a customer human body data picture according to the label information of the clothing measurement rule; and 4, carrying out data analysis and human-clothing matching: substituting the customer human body data picture obtained in the step 3 into the human body AI model in the step 1 to train, taking a human body position and a key point output by the AI model as the label information, estimating a size of each area of the customer human body, retrieving clothing with proper sizes and carrying out fitting according to the estimated size information of each area of the customer human body, and displaying a fitting success result between the clothing and the human body through an image engine. The method is capable of improving the fitting efficiency, displaying the effect of bodily form and fit clothing, and really displaying whether the clothing is matched with the skin color, head style and temperament or not.

Description

technical field [0001] The invention relates to the field of virtual fitting, in particular to an imaging method for virtual fitting. Background technique [0002] E-commerce has become a trend, and now all walks of life are developing towards e-commerce. Clothing is a necessity in people's life. The aesthetics of clothes, whether they fit the buyer's personality, whether they are suitable for themselves, etc. need to be solved in online shopping and real life. If there is no effective solution to these problems, it will be difficult Online shopping causes certain losses. Nowadays, many online shoppers choose the clothes on the online shopping platform, but when they get the clothes, they find that the effect is not what they imagined, which leads to distrust of the seller and the shopping platform when returning the goods. [0003] The existing 3D modeling and simulation in the prior art is through the user’s input of height and weight in advance, and then selects the bod...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06T7/33
CPCG06Q30/0643G06T7/344
Inventor 成瑜
Owner 南京衣谷互联网科技有限公司
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