Snap inc. (20240282015). AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT simplified abstract
Contents
AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT
Organization Name
Inventor(s)
Hanna Davidovich of Ramat Gan (IL)
Avihay Assouline of Tel Aviv (IL)
AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240282015 titled 'AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT
The present disclosure involves a system for an augmented reality (AR) try-on experience with lighting adjustment. The system utilizes an image of a real-world person and an AR fashion item to estimate a lighting adjustment based on the lighting properties of the person in the image.
- The system accesses an image of a real-world person.
- The system retrieves an AR fashion item.
- A machine learning model is used to estimate a lighting adjustment for the AR fashion item based on the lighting properties of the person in the image.
- The machine learning model is trained to match lighting properties of real-world objects to AR objects and vice versa.
- The system combines the AR fashion item with the image of the person based on the estimated lighting adjustment to generate a modified image.
Potential Applications: - Virtual try-on experiences for fashion retailers - Personalized AR makeup applications - Virtual fitting rooms for online shopping platforms
Problems Solved: - Enhancing the realism of AR try-on experiences - Providing accurate lighting adjustments for virtual items - Improving the user experience in virtual shopping environments
Benefits: - Increased customer engagement and satisfaction - Enhanced visualization of virtual items - Improved accuracy in virtual try-on experiences
Commercial Applications: Title: "Enhancing Virtual Try-On Experiences with Lighting Adjustment in AR" This technology can be used by fashion retailers, beauty brands, and online shopping platforms to provide customers with a more realistic and personalized virtual try-on experience. It can lead to increased sales, reduced returns, and improved customer loyalty.
Questions about the technology: 1. How does the machine learning model estimate the lighting adjustment for the AR fashion item? 2. What are the key advantages of using this system for virtual try-on experiences?
Original Abstract Submitted
aspects of the present disclosure involve a system for an augmented reality (ar) try-on experience with lighting adjustment. the system accesses an image that depicts a real-world person. the system retrieves an ar fashion item. the system applies the image and the ar fashion item to a machine learning model to estimate a lighting adjustment for the ar fashion item based on lighting properties of the real-world person depicted in the image, the machine learning model trained to match lighting properties of images depicting real-world objects to lighting properties of ar objects and vice versa. the system combines the ar fashion item with the image that depicts the real-world person based on the estimated lighting adjustment to generate a modified image.
