View source for 18179784. DEPTH ESTIMATION FROM RGB IMAGES simplified abstract (Snap Inc.)

=DEPTH ESTIMATION FROM RGB IMAGES=


==Organization Name==

[[:Category:Snap Inc.|Snap Inc.]]


[[Category:Snap Inc.]]

==Inventor(s)==

[[:Category:Riza Alp Guler of London (GB)|Riza Alp Guler of London (GB)]][[Category:Riza Alp Guler of London (GB)]]

[[:Category:Dominik Kulon of London (GB)|Dominik Kulon of London (GB)]][[Category:Dominik Kulon of London (GB)]]

[[:Category:Himmy Tam of London (GB)|Himmy Tam of London (GB)]][[Category:Himmy Tam of London (GB)]]

[[:Category:Haoyang Wang of London (GB)|Haoyang Wang of London (GB)]][[Category:Haoyang Wang of London (GB)]]

==DEPTH ESTIMATION FROM RGB IMAGES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18179784 titled 'DEPTH ESTIMATION FROM RGB IMAGES

'''Simplified Explanation''': 

This patent application describes a system that uses image data of hands and a depth estimation model to generate extended reality effects. The system captures real-world hand images and uses the depth estimation model to create immersive experiences for users.

* The system generates extended reality effects using hand image data and a depth estimation model.
* The depth estimation model is trained with synthetic 2D image data paired with depths and segmentation masks.
* Real-world hand images are captured and processed to create immersive extended reality experiences for users.

'''Key Features and Innovation''':
* Utilizes hand image data and a depth estimation model for extended reality effects.
* Trains the depth estimation model with synthetic image data and segmentation masks.
* Provides immersive extended reality experiences using real-world hand images.

'''Potential Applications''':
* Virtual reality gaming
* Augmented reality training simulations
* Interactive educational experiences

'''Problems Solved''':
* Enhancing user immersion in extended reality environments
* Improving the realism of virtual and augmented reality applications

'''Benefits''':
* Enhanced user experience
* More realistic extended reality effects
* Increased engagement in virtual and augmented reality content

'''Commercial Applications''':
* Virtual reality gaming industry
* Augmented reality training programs
* Educational technology market

'''Prior Art''':
Prior art related to this technology may include research on depth estimation models for virtual and augmented reality applications.

'''Frequently Updated Research''':
Ongoing research in depth estimation models and extended reality technologies may impact the development of this system.

'''Questions about Extended Reality Effects Using Hand Image Data and Depth Estimation Models''':
1. How does the system use depth estimation models to enhance extended reality effects?
2. What are the potential commercial applications of this technology in the entertainment industry?


==Original Abstract Submitted==

A system for generating extended reality effects using image data of hands and a depth estimation model. The depth estimation model is trained using pairings of synthetic 2D image data with sets of depths and segmentation masks. An extended reality system captures image data of hands in a real-world scene and uses the image data and the depth estimation model to generate the extended reality effects. The extended reality effects are provided to a user during an extended reality experience.



[[Category:G06T7/55]]
[[Category:G06V10/25]]
[[Category:CPC_G06T7/55]]