DISNEY ENTERPRISES, INC. (20240242445). NEURAL EXTENSION OF 2D CONTENT IN AUGMENTED REALITY ENVIRONMENTS simplified abstract
Contents
NEURAL EXTENSION OF 2D CONTENT IN AUGMENTED REALITY ENVIRONMENTS
Organization Name
Inventor(s)
Hayko Jochen Wilhelm Riemenschneider of Zurich (CH)
Erika Varis Doggett of Los Angeles CA (US)
Evan Matthew Goldberg of Burbank CA (US)
Shinobu Hattori of Los Angeles CA (US)
Christopher Richard Schroers of Uster (CH)
NEURAL EXTENSION OF 2D CONTENT IN AUGMENTED REALITY ENVIRONMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240242445 titled 'NEURAL EXTENSION OF 2D CONTENT IN AUGMENTED REALITY ENVIRONMENTS
The abstract describes a technique for generating augmented reality content using machine learning models.
- Input a first layout of a physical space and a first set of anchor content into the machine learning model.
- Generate a first augmented reality view that combines the physical space with the anchor content extension.
- Output the first augmented reality view on a computing device.
Potential Applications: - Augmented reality gaming - Virtual tours of real estate properties - Interactive museum exhibits
Problems Solved: - Enhancing user engagement with augmented reality content - Seamlessly integrating virtual elements into physical spaces
Benefits: - Improved user experience - Increased interactivity in virtual environments - Enhanced visualization of spatial relationships
Commercial Applications: Augmented reality advertising campaigns Virtual reality training simulations for industries like architecture and interior design
Prior Art: Prior art related to this technology may include research on machine learning models for generating augmented reality content and spatial computing techniques.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for augmented reality applications.
Questions about Augmented Reality Content Generation: 1. How does machine learning enhance the generation of augmented reality content? 2. What are the key challenges in creating realistic augmented reality experiences?
Original Abstract Submitted
one embodiment of the present invention sets forth a technique for generating augmented reality content. the technique includes inputting a first layout of a physical space and a first set of anchor content into a machine learning model. the technique also includes generating, via execution of the machine learning model, a first augmented reality view that includes (i) a first portion of the physical space and (ii) an extension of the first set of anchor content across a second portion of the physical space. the technique further includes causing the first augmented reality view to be outputted in a computing device.
