NHN. has filed a patent for a computer device that provides a virtual try-on image. The device includes a camera interface, display interface, and processor to generate the virtual image by synthesizing clothes with the user’s pose. The technology aims to enhance the online shopping experience. GlobalData’s report on NHN gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on NHN, Video game monitoring was a key innovation area identified from patents. NHN's grant share as of January 2024 was 19%. Grant share is based on the ratio of number of grants to total number of patents.

Virtual try-on image computer device

Source: United States Patent and Trademark Office (USPTO). Credit: NHN Corp

A computer device for providing a virtual try-on image has been patented, comprising a camera interface, a display interface, and a processor. The processor communicates with the camera and display device, receives input images from the camera, generates pose estimation data, selects an input image matching a reference pose, synthesizes a clothes object with the user object, and outputs the virtual try-on image on the display device. The device utilizes neural networks for determining pose matches and image harmonization techniques for generating the virtual try-on image.

Additionally, a computerized method for providing a virtual try-on image involves generating input images, estimating poses, selecting matching images, synthesizing clothes objects with user objects, and outputting the virtual try-on image. The method includes generating synthesized images by harmonizing user objects with clothes objects and background images. Another patented computer device focuses on visualizing background images, utilizing convolutional neural networks for image harmonization. The processor converts user objects with clothes objects and synthesized images with background images, ensuring a seamless virtual try-on experience for users based on pose estimation data and reference poses.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.