Snap Inc. (20240265608). AUGMENTED REALITY TRY-ON EXPERIENCE FOR FRIEND simplified abstract
Contents
AUGMENTED REALITY TRY-ON EXPERIENCE FOR FRIEND
Organization Name
Inventor(s)
Matan Zohar of Rishon LeZion (IL)
Itamar Berger of Hod Hasharon (IL)
AUGMENTED REALITY TRY-ON EXPERIENCE FOR FRIEND - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240265608 titled 'AUGMENTED REALITY TRY-ON EXPERIENCE FOR FRIEND
- Simplified Explanation:**
The patent application describes a system that allows users to try on augmented reality fashion items through an avatar that resembles them.
- Key Features and Innovation:**
- System accesses images of individuals
- Identifies a person in an image
- Extracts features of the person
- Generates an avatar using machine learning
- Applies AR fashion items to the avatar
- Potential Applications:**
This technology could be used in virtual fashion try-on apps, social media platforms, and e-commerce websites.
- Problems Solved:**
The system addresses the challenge of accurately visualizing how AR fashion items would look on an individual before making a purchase.
- Benefits:**
Users can virtually try on different fashion items without physically wearing them, leading to more informed purchasing decisions.
- Commercial Applications:**
- "Virtual Fashion Try-On System for E-Commerce Platforms"
- This technology could revolutionize the online shopping experience by providing a more interactive and personalized way to try on clothes virtually.
- Prior Art:**
Prior art related to this technology may include existing AR try-on systems and machine learning models used for avatar creation.
- Frequently Updated Research:**
Researchers may be exploring advancements in machine learning algorithms for more accurate avatar generation and AR fashion item application.
- Questions about AR Try-On Systems:**
1. How does this technology improve the online shopping experience?
- This technology allows users to virtually try on fashion items before purchasing, leading to more confident buying decisions.
2. What are the potential limitations of using machine learning for avatar creation in AR try-on systems?
- Some limitations may include accuracy in capturing individual features and the need for continuous training data to improve the avatar generation process.
Original Abstract Submitted
aspects of the present disclosure involve a system for providing an ar try-on experience for a friend. the system accesses a plurality of images that depict one or more persons. the system receives input that identifies a given person of the one or more persons who is depicted in an individual image of the plurality of images. the system extracts features of the given person depicted in the individual image. the system applies a machine learning model to the extracted features of the given person to generate an avatar that resembles the given person. the system applies one or more augmented reality (ar) fashion items to the avatar to generate an image that resembles the given person wearing the one or more ar fashion items.
