Virtual Fitting Model Skin Tone Adjustment
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Solution Overview
Problem
Current virtual fitting solutions fail to accurately match the skin tone of virtual fitting models to users, resulting in a poor fitting effect.
Innovation Solution
A method and device that adjust the skin tone of virtual fitting models by calculating a ratio based on the average skin tone of a user-provided image and applying it to the model's pixel values, ensuring a closer color match.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual fitting models from graph library are used, then the virtual fitting function can be provided, but the skin tone of the virtual fitting model does not match the user's skin tone
Solution Approach 1:
The patent changes the color parameters of the virtual fitting model's skin by calculating a ratio between the user's skin tone and the model's skin tone, then multiplying the model's pixel values by this ratio to adjust the skin tone parameters and achieve better matching
Solution Approach 2:
The patent extracts skin tone information from the user's reference image and applies it to the virtual fitting model, creating a customized copy of the user's skin characteristics on the virtual model
2Reliability
If the skin tone of virtual fitting model is adjusted to match user's skin tone, then the fitting effect is improved, but the processing time increases
Solution Approach 1:
The patent pre-calculates the average skin tone values and the ratio between user and model skin tones before applying the adjustment, preparing the transformation parameters in advance to streamline the actual color adjustment process
Solution Approach 2:
The patent focuses the skin tone adjustment specifically on the skin regions of the virtual fitting model rather than processing the entire image, thereby reducing the overall processing time while maintaining accuracy in the critical areas
Data Source
AI summary
Provided in the present invention are a method and device for processing a virtual fitting model image, which help enable the fitting effect of a virtual fitting model to better approximate the fitting effect of a user. The method comprises: determining a human body skin color average value of a pre-selected area in a reference image, and calculating a ratio by dividing the human body skin color average value by a skin color average value of the virtual fitting model image; multiplying the various pixel values of the body area in the virtual fitting model image by the ratio, and using the results of multiplication as the various pixel values of the body area in the virtual fitting model image.