Snap Inc. (20240282015). AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT simplified abstract

AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT

Organization Name

Snap Inc.

Inventor(s)

Hanna Davidovich of Ramat Gan (IL)

Nir Malbin of Shoham (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.

1. 1. 1. Potential Applications:

- Virtual fashion try-on experiences - Online shopping platforms - Virtual fitting rooms in retail stores

1. 1. 1. Problems Solved:

- Improving the accuracy of virtual try-on experiences - Enhancing the visualization of AR fashion items in different lighting conditions

1. 1. 1. Benefits:

- Enhanced user experience in virtual try-on scenarios - Increased confidence in purchasing decisions for fashion items - Efficient and accurate lighting adjustments for AR objects

1. 1. 1. Commercial Applications:
         1. Title: Enhanced Virtual Try-On Experience for Fashion Retailers

This technology can revolutionize the way fashion retailers engage with customers online, providing a more realistic and personalized shopping experience. By integrating this system into their platforms, retailers can increase customer satisfaction and boost sales.

1. 1. 1. Prior Art:

Further research can be conducted in the field of machine learning models for estimating lighting adjustments in AR applications.

1. 1. 1. Frequently Updated Research:

Stay updated on advancements in machine learning algorithms for image processing and virtual try-on technologies.

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.