18111632. AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT simplified abstract (Snap Inc.)

From WikiPatents
Jump to navigation Jump to search

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 18111632 titled 'AUGMENTED REALITY EXPERIENCE WITH LIGHTING ADJUSTMENT

    • Simplified Explanation:**

The patent application describes a system for an augmented reality try-on experience with lighting adjustment. It involves using a machine learning model to estimate lighting adjustments for AR fashion items based on the lighting properties of real-world images.

    • Key Features and Innovation:**
  • System for AR try-on experience with lighting adjustment
  • Machine learning model used to estimate lighting adjustments for AR fashion items
  • Combining real-world images with AR fashion items based on estimated lighting adjustments
    • Potential Applications:**

This technology could be used in the fashion industry for virtual try-on experiences, online shopping platforms, and virtual fitting rooms.

    • Problems Solved:**

This technology addresses the challenge of accurately depicting AR fashion items on real-world images by adjusting for lighting differences.

    • Benefits:**
  • Enhanced virtual try-on experiences
  • Improved accuracy in depicting AR fashion items on real-world images
  • Better visualization of how AR fashion items would look in different lighting conditions
    • Commercial Applications:**

Potential commercial applications include virtual fitting rooms for online retailers, AR fashion apps, and virtual styling services for customers.

    • Prior Art:**

Prior art related to this technology may include research on machine learning models for image processing in augmented reality applications.

    • Frequently Updated Research:**

Researchers may be exploring advancements in machine learning models for more accurate lighting adjustments in augmented reality applications.

    • Questions about AR Try-On Experience with Lighting Adjustment:**

1. How does the machine learning model estimate lighting adjustments for AR fashion items? 2. What are the potential implications of this technology for the fashion industry?


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.