View source for Snap Inc. (20240312044). SPATIAL SCANNING FOR EXTENDED REALITY simplified abstract

=SPATIAL SCANNING FOR EXTENDED REALITY=


==Organization Name==

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


[[Category:Snap Inc.]]

==Inventor(s)==

[[:Category:Tomasz Zakrzewski of Luchen (CH)|Tomasz Zakrzewski of Luchen (CH)]][[Category:Tomasz Zakrzewski of Luchen (CH)]]

==SPATIAL SCANNING FOR EXTENDED REALITY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240312044 titled 'SPATIAL SCANNING FOR EXTENDED REALITY

==Simplified Explanation==
An extended reality (XR) system that determines 3D data of physical objects in a real-world scene by scanning the environment and capturing video frame data.

==Key Features and Innovation==
* XR system scans real-world scenes for physical objects in 3D.
* Captures video frame data and pose of the XR system.
* Determines 2D position of physical objects using video frame data.
* Calculates depth of physical objects and their 3D position in the scene.
* Communicates 3D position data to applications.

==Potential Applications==
This technology can be used in:
* Augmented reality applications
* Virtual reality simulations
* Industrial design and prototyping
* Architectural visualization
* Medical imaging and surgery planning

==Problems Solved==
* Accurately determining the 3D position of physical objects in real-world scenes.
* Enhancing spatial awareness in XR applications.
* Improving object recognition and tracking capabilities.

==Benefits==
* Enhanced user experience in XR environments.
* Improved accuracy in object positioning.
* Increased efficiency in various industries utilizing XR technology.

==Commercial Applications==
===Spatial Scanning Technology for XR Applications===
This technology can revolutionize industries such as:
* Gaming and entertainment
* Healthcare and medical training
* Manufacturing and product design
* Real estate and architecture
* Education and training simulations

==Prior Art==
Prior art related to this technology may include research on:
* 3D object recognition in augmented reality
* Depth sensing technologies in virtual reality systems
* Pose estimation algorithms for XR applications

==Frequently Updated Research==
Researchers are constantly exploring advancements in:
* Real-time 3D scanning techniques
* Object tracking and localization in XR systems
* Integration of AI and machine learning in spatial mapping for XR

==Questions about XR==
===How does this technology improve object recognition in XR applications?===
This technology enhances object recognition by accurately determining the 3D position of physical objects in real-world scenes, leading to more precise tracking and interaction in XR environments.

===What are the potential implications of this technology in medical imaging and surgery planning?===
This technology can revolutionize medical imaging by providing accurate 3D data of anatomical structures, improving surgical planning and training processes for healthcare professionals.


==Original Abstract Submitted==

an extended reality (xr) system that provides services for determining 3d data of physical objects in a real-world scene. the xr system receives a request from an application to initiate a spatial scan of a real-world scene. in response, the xr system captures video frame data of the real-world scene and captures a pose of the xr system. the xr system determines a physical object in the real-world scene and determines a 2d position of the physical object, using the video frame data. the xr system determines a depth of the physical object using the 2d position and determines a 3d position of the physical object in the real-world scene using the 2d position of the physical object, the depth of the physical object, and the pose of the xr system. the xr system communicates the 3d position data to the application.



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