Two‐dimensional virtual try‐on algorithm and application research for personalized dressing

Abstract

To reduce the cost of virtual try‐on, a method of image deformation by body part size is proposed for the traditional two‐dimensional virtual try‐on method, which is challenging to represent the personalized characteristics of the body size of the fitting subject. On the basis of the input information of the user's body size, the method can generate a fitting effect that shows the user's characteristics with the corresponding clothes. The image segmentation algorithm is used to snap out the garment from the background garment image, and then the size and position of the garment are adjusted according to the dressing position of the standard mannequin image and fit the mannequin image. The final mesh with dense vertices is generated using surface subdivision. The experimental results show that this method can show good results in user personalized try‐on.