US20240177360
2024-05-30
Physics
G06T11/00
Methods and systems for Virtual Try-On (VTO) leverage augmented reality to enhance the consumer experience by allowing users to virtually try products such as makeup, hair color, or nail polish. The technology integrates with web pages, often as advertisements, to create tailored VTO experiences based on different products and user preferences. When activated on a user's device, these components generate a model image experience that showcases the effects of the products in real-time.
VTO engines utilize advanced image processing techniques to apply virtual effects to user images, typically selfies. By executing locally on user devices, these engines minimize communication lag and enhance privacy compared to cloud-based alternatives. The capability to simulate product effects in near real-time provides users with a more engaging and interactive experience when trying on various products.
The system generates webpage components that can be seamlessly integrated into existing HTML documents using methods like inline frames. These components can serve as advertisements or functional parts of a brand's website, each designed to offer a unique VTO experience for specific products. Brands can customize their VTO presentations for various product lines, accommodating different colors or styles.
Computing devices within the VTO framework can store extensive brand and product information in databases, allowing for efficient content management. The system can create customizable webpage components that target specific markets or demographics, ensuring that VTO experiences are relevant to local audiences. This customization can include localization of content based on geographic identifiers.
The model image experience is central to the VTO process, featuring pre-rendered images that display products before users engage with their own images. Each model image includes both "before" and "after" states, showcasing the effects of the products being tried on. This structured presentation allows users to see multiple product variations and enhances their decision-making process while shopping online.